Merge pull request #549 from microsoft/copilot/fix-19087a1e-d64a-4288-bdb5-e599a829434e

[WIP] Data file
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Lee Stott 2025-10-03 15:22:02 +01:00 committed by GitHub
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98 changed files with 515 additions and 493 deletions

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@ -10,7 +10,9 @@
"\n",
"### Getting the Data\n",
"\n",
"In this assignment, we will focus on relatively simple classification task - classification of pet's faces. This dataset consists of cut-out faces from [Oxford-IIIT Dataset](https://www.robots.ox.ac.uk/~vgg/data/pets/). Let's start by loading and visualizing the dataset."
"In this assignment, we will focus on relatively simple classification task - classification of pet's faces. We will use the [Oxford-IIIT Pet Dataset](https://www.robots.ox.ac.uk/~vgg/data/pets/), which contains images of 37 different breeds of dogs and cats. Let's start by downloading and visualizing the dataset.\n",
"\n",
"**Note:** The Oxford-IIIT Pet Dataset contains full pet images. The images will be organized by breed in the extracted folder."
]
},
{
@ -22,24 +24,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{
@ -86,6 +88,24 @@
"metadata": {},
"outputs": [],
"source": [
"# Note: The Oxford-IIIT Pet Dataset extracts to a folder named 'images'\n",
"# Images are named by breed (e.g., 'Abyssinian_1.jpg')\n",
"# We need to organize them into breed-specific subdirectories\n",
"import os\n",
"from collections import defaultdict\n",
"\n",
"# Organize images by breed\n",
"if not os.path.exists('petfaces'):\n",
" os.makedirs('petfaces')\n",
" for img_file in os.listdir('images'):\n",
" if img_file.endswith(('.jpg', '.png')):\n",
" # Extract breed name from filename (everything before the last underscore and number)\n",
" breed = '_'.join(img_file.split('_')[:-1])\n",
" breed_dir = os.path.join('petfaces', breed)\n",
" if not os.path.exists(breed_dir):\n",
" os.makedirs(breed_dir)\n",
" os.rename(os.path.join('images', img_file), os.path.join(breed_dir, img_file))\n",
"\n",
"for cls in os.listdir('petfaces'):\n",
" print(cls)\n",
" display_images([Image.open(os.path.join('petfaces',cls,x)) \n",
@ -373,4 +393,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
}
}

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@ -10,18 +10,20 @@ You need to train a convolutional neural network to classify different breeds of
## The Dataset
We will use the **Pet Faces** dataset, derived from [Oxford-IIIT](https://www.robots.ox.ac.uk/~vgg/data/pets/) pets dataset. It contains 35 different breeds of dogs and cats.
We will use the [Oxford-IIIT Pet Dataset](https://www.robots.ox.ac.uk/~vgg/data/pets/), which contains images of 37 different breeds of dogs and cats.
![Dataset we will deal with](images/data.png)
To download the dataset, use this code snippet:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
**Note:** The Oxford-IIIT Pet Dataset images are organized by filename (e.g., `Abyssinian_1.jpg`, `Bengal_2.jpg`). The notebook includes code to organize these images into breed-specific subdirectories for easier classification.
## Stating Notebook
Start the lab by opening [PetFaces.ipynb](PetFaces.ipynb)

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@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

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@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
لتحميل مجموعة البيانات، استخدم هذا المقتطف البرمجي:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## بدء العمل على الدفتر

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@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

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@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
За да изтеглите набора от данни, използвайте този кодов фрагмент:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Начален Notebook

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@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

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@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
ডেটাসেট ডাউনলোড করতে নিচের কোড স্নিপেটটি ব্যবহার করুন:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## নোটবুক শুরু করা

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@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

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@ -26,9 +26,9 @@ Usaremos o dataset **Pet Faces**, derivado do dataset de animais de estimação
Para baixar o dataset, use este trecho de código:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Iniciando o Notebook

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@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

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@ -26,9 +26,9 @@ Použijeme dataset **Pet Faces**, který je odvozen z datasetu domácích mazlí
Pro stažení datasetu použijte tento úryvek kódu:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Výchozí notebook

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@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

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@ -26,9 +26,9 @@ Vi vil bruge **Pet Faces**-datasættet, som er afledt af [Oxford-IIIT](https://w
For at downloade datasættet, brug denne kode:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Start Notebook

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@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Wir verwenden den **Pet Faces**-Datensatz, der aus dem [Oxford-IIIT](https://www
Um den Datensatz herunterzuladen, verwenden Sie diesen Code-Schnipsel:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Start-Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
Για να κατεβάσετε το σύνολο δεδομένων, χρησιμοποιήστε αυτό το απόσπασμα κώδικα:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Έναρξη Σημειωματάριου

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ We will use the **Pet Faces** dataset, which is derived from the [Oxford-IIIT](h
To download the dataset, use this code snippet:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Starting Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Usaremos el conjunto de datos **Pet Faces**, derivado del conjunto de datos de m
Para descargar el conjunto de datos, utiliza este fragmento de código:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Cuaderno Inicial

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
برای دانلود مجموعه داده، از این قطعه کد استفاده کنید:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## شروع دفترچه یادداشت

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Käytämme **Pet Faces** -datakokonaisuutta, joka on johdettu [Oxford-IIIT](http
Ladataksesi datakokonaisuuden, käytä tätä koodinpätkää:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Aloitus Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Nous utiliserons le dataset **Pet Faces**, dérivé du dataset [Oxford-IIIT](htt
Pour télécharger le dataset, utilisez cet extrait de code :
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Démarrage du Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
כדי להוריד את מאגר הנתונים, השתמשו בקטע הקוד הבא:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## פתיחת המחברת

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
डेटासेट डाउनलोड करने के लिए, इस कोड स्निपेट का उपयोग करें:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## प्रारंभिक नोटबुक

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
要下載數據集,請使用以下代碼片段:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## 啟動筆記本

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Koristit ćemo **Pet Faces** dataset, izveden iz [Oxford-IIIT](https://www.robot
Za preuzimanje dataset-a, koristite ovaj isječak koda:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Početak rada s bilježnicom

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ A **Pet Faces** adatbázist fogjuk használni, amely az [Oxford-IIIT](https://ww
Az adatbázis letöltéséhez használd az alábbi kódrészletet:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Induló Jegyzetfüzet

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Kita akan menggunakan dataset **Pet Faces**, yang berasal dari dataset hewan pel
Untuk mengunduh dataset, gunakan cuplikan kode berikut:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Memulai Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Utilizzeremo il dataset **Pet Faces**, derivato dal dataset di animali domestici
Per scaricare il dataset, utilizza questo frammento di codice:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Notebook di Partenza

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
データセットをダウンロードするには、以下のコードスニペットを使用してください:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## ノートブックの開始

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
데이터셋을 다운로드하려면 아래 코드 스니펫을 사용하세요:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## 시작 노트북

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Naudosime **Pet Faces** duomenų rinkinį, kuris yra sukurtas remiantis [Oxford-
Norėdami atsisiųsti duomenų rinkinį, naudokite šį kodo fragmentą:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Pradinis Užrašų Knygelės Failas

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
要下載資料集,請使用以下程式碼片段:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## 開始使用 Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
डेटासेट डाउनलोड करण्यासाठी, खालील कोड स्निपेट वापरा:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## प्रारंभिक नोटबुक

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Kita akan menggunakan dataset **Pet Faces**, yang diambil daripada dataset haiwa
Untuk memuat turun dataset, gunakan kod berikut:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Memulakan Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
ဒေတာစနစ်ကို ဒေါင်းလုဒ်လုပ်ရန် အောက်ပါ ကုဒ်ကို အသုံးပြုပါ-
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## စတင်ရန် Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
डाटासेट डाउनलोड गर्न, यो कोड स्निपेट प्रयोग गर्नुहोस्:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## नोटबुक सुरु गर्नुहोस्

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ We zullen de **Pet Faces** dataset gebruiken, afgeleid van de [Oxford-IIIT](http
Gebruik de volgende codefragment om de dataset te downloaden:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Start Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Vi skal bruke **Pet Faces**-datasettet, som er avledet fra [Oxford-IIIT](https:/
For å laste ned datasettet, bruk denne kodebiten:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Startnotatbok

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
ਡੇਟਾਸੈੱਟ ਡਾਊਨਲੋਡ ਕਰਨ ਲਈ, ਹੇਠਾਂ ਦਿੱਤੇ ਕੋਡ ਸਨਿੱਪਟ ਦੀ ਵਰਤੋਂ ਕਰੋ:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## ਨੋਟਬੁੱਕ ਸ਼ੁਰੂ ਕਰਨਾ

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Użyjemy zestawu danych **Pet Faces**, który pochodzi z [Oxford-IIIT](https://w
Aby pobrać zestaw danych, użyj tego fragmentu kodu:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Rozpoczęcie Pracy z Notebookiem

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Vamos utilizar o dataset **Pet Faces**, derivado do dataset de animais de estima
Para descarregar o dataset, utilize este trecho de código:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Notebook Inicial

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Vom folosi setul de date **Pet Faces**, derivat din setul de date pentru animale
Pentru a descărca setul de date, folosește acest fragment de cod:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Notebook-ul de Start

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
Чтобы скачать набор данных, используйте этот код:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Начало работы с ноутбуком

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Použijeme dataset **Pet Faces**, ktorý je odvodený z datasetu domácich milá
Na stiahnutie datasetu použite tento úryvok kódu:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Začiatok práce s notebookom

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Uporabili bomo podatkovno zbirko **Pet Faces**, ki je izpeljana iz podatkovne zb
Za prenos podatkovne zbirke uporabite naslednji del kode:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Začetek zvezka

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
Да бисте преузели скуп података, користите овај код:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Почетна свеска

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Vi kommer att använda datasetet **Pet Faces**, som är hämtat från [Oxford-II
För att ladda ner datasetet, använd följande kodsnutt:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Starta Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Tutatumia seti ya data ya **Pet Faces**, inayotokana na seti ya data ya wanyama
Ili kupakua seti ya data, tumia kipande hiki cha msimbo:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Kuanzisha Daftari

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
ในการดาวน์โหลดชุดข้อมูล ให้ใช้โค้ดนี้:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## เริ่มต้นด้วย Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Gagamitin natin ang **Pet Faces** dataset, na nagmula sa [Oxford-IIIT](https://w
Upang i-download ang dataset, gamitin ang code snippet na ito:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Simula ng Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Bir evcil hayvan yuvası için tüm evcil hayvanları kataloglayacak bir uygulam
Veri kümesini indirmek için şu kod parçasını kullanın:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Başlangıç Not Defteri

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
要下載數據集,請使用以下程式碼片段:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## 啟動筆記本

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
Щоб завантажити набір даних, скористайтеся цим фрагментом коду:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Початок роботи з ноутбуком

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
ڈیٹا سیٹ ڈاؤن لوڈ کرنے کے لیے، یہ کوڈ استعمال کریں:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## نوٹ بک شروع کرنا

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ Chúng ta sẽ sử dụng bộ dữ liệu **Pet Faces**, được lấy từ b
Để tải bộ dữ liệu, hãy sử dụng đoạn mã sau:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## Bắt đầu với Notebook

View File

@ -22,24 +22,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-02-17 12:32:43-- https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"--2022-02-17 12:32:43-- https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"Resolving mslearntensorflowlp.blob.core.windows.net... 20.150.90.68\n",
"Connecting to mslearntensorflowlp.blob.core.windows.net|20.150.90.68|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 24483412 (23M) [application/x-gzip]\n",
"Saving to: petfaces.tar.gz\n",
"Saving to: images.tar.gz\n",
"\n",
"petfaces.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"images.tar.gz 100%[===================>] 23.35M 12.5MB/s in 1.9s \n",
"\n",
"2022-02-17 12:32:45 (12.5 MB/s) - petfaces.tar.gz saved [24483412/24483412]\n",
"2022-02-17 12:32:45 (12.5 MB/s) - images.tar.gz saved [24483412/24483412]\n",
"\n"
]
}
],
"source": [
"!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz\n",
"!tar xfz petfaces.tar.gz\n",
"!rm petfaces.tar.gz"
"!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz\n",
"!tar xfz images.tar.gz\n",
"!rm images.tar.gz"
]
},
{

View File

@ -26,9 +26,9 @@ CO_OP_TRANSLATOR_METADATA:
要下载数据集,请使用以下代码片段:
```python
!wget https://mslearntensorflowlp.blob.core.windows.net/data/petfaces.tar.gz
!tar xfz petfaces.tar.gz
!rm petfaces.tar.gz
!wget https://thor.robots.ox.ac.uk/~vgg/data/pets/images.tar.gz
!tar xfz images.tar.gz
!rm images.tar.gz
```
## 启动笔记本