From 81053d8a30217815f2263e8d4c568d91a6dc424e Mon Sep 17 00:00:00 2001 From: Dmitri Soshnikov Date: Mon, 13 Dec 2021 23:35:42 +0300 Subject: [PATCH] Add convnet architectures and transfer learning --- .../07-ConvNets/CNN_Architectures.md | 37 ++++++++++++++++++ 4-ComputerVision/07-ConvNets/ConfNetsTF.ipynb | 27 +++++++------ 4-ComputerVision/07-ConvNets/README.md | 17 ++++++++ .../07-ConvNets/images/inception.png | Bin 0 -> 19684 bytes .../07-ConvNets/images/resnet-block.png | Bin 0 -> 42952 bytes .../07-ConvNets/images/vgg-16-arch.jpg | Bin 0 -> 45993 bytes .../07-ConvNets/images/vgg-16-arch1.jpg | Bin 0 -> 27168 bytes .../08-TransferLearning/README.md | 26 ++++++++++++ .../TransferLearningTF.ipynb | 6 +-- .../images/catsdogsdataset.png | Bin 0 -> 40066 bytes README.md | 4 +- 11 files changed, 99 insertions(+), 18 deletions(-) create mode 100644 4-ComputerVision/07-ConvNets/CNN_Architectures.md create mode 100644 4-ComputerVision/07-ConvNets/images/inception.png create mode 100644 4-ComputerVision/07-ConvNets/images/resnet-block.png create mode 100644 4-ComputerVision/07-ConvNets/images/vgg-16-arch.jpg create mode 100644 4-ComputerVision/07-ConvNets/images/vgg-16-arch1.jpg create mode 100644 4-ComputerVision/08-TransferLearning/README.md create mode 100644 4-ComputerVision/08-TransferLearning/images/catsdogsdataset.png diff --git a/4-ComputerVision/07-ConvNets/CNN_Architectures.md b/4-ComputerVision/07-ConvNets/CNN_Architectures.md new file mode 100644 index 00000000..e5f89ec4 --- /dev/null +++ b/4-ComputerVision/07-ConvNets/CNN_Architectures.md @@ -0,0 +1,37 @@ +# Most Known CNN Architectures + +### VGG-16 + +VGG-16 is a network that achieved 92.7% accuracy in ImageNet top-5 classification in 2014. It has the following layer structure: + +![ImageNet Layers](images/vgg-16-arch1.jpg) + +As you can see, VGG follows traditional pyramid architecture, which is a sequence of convolution-pooling layers. + +![ImageNet Pyramid](images/vgg-16-arch.jpg) + +### ResNet + +ResNet is a family of models proposed by Microsoft Research in 2015. The main idea of ResNet is to use **residual blocks**: + + + +The reason for using identity pass-through is to have our layer predict **the difference** between the result of a previous layer and the output of the residual block - hence the name *residual*. Those blocks are much easier to train, and one can construct networks with several hundreds of those blocks (most common variants are ResNet-52, ResNet-101 and ResNet-152). + +You can also think of this network as being able to adjust its complexity to the dataset. Initially, when you are starting to train the network, weights values are small, and most of the signal goes through passthrough identity layers. As training progresses and weights become larger, the significance of network parameters grow, and the networks adjusts to accommodate required expressive power to correctly classify training images. + +### Google Inception + +Google Inception architecture takes this idea one step further, and builds each network layer as a combination of several different paths: + + + +Here, we need to emphasize the role of 1x1 convolutions, because at first they do not make sense. Why would we need to run through the image with 1x1 filter? However, you need to remember that convolution filter also works with several depth channels (originally - RGB colors, in subsequent layers - channels for different filters), and 1x1 convolution is used to mix those input channels together using different trainable weights. It can be also viewed as downsampling (pooling) over channel dimension. + +Here is [a good blog post](https://medium.com/analytics-vidhya/talented-mr-1x1-comprehensive-look-at-1x1-convolution-in-deep-learning-f6b355825578) on the subject, and [original paper](https://arxiv.org/pdf/1312.4400.pdf). + +### MobileNet + +MobileNet is a family of models with reduced size, suitable for mobile devices. Use them if you are short in resources, and can sacrifice a little bit of accuracy. The main idea behind them is so-called **depthwise separable convolution**, which allows representing convolution filters by a composition of spatial convolutions and 1x1 convolution over depth channels. This significantly reduces the number of parameters, making the network smaller in size, and also easier to train with less data. + +Here is [a good blog post on MobileNet](https://medium.com/analytics-vidhya/image-classification-with-mobilenet-cc6fbb2cd470). diff --git a/4-ComputerVision/07-ConvNets/ConfNetsTF.ipynb b/4-ComputerVision/07-ConvNets/ConfNetsTF.ipynb index 4f3976a2..d1ea0a0d 100644 --- a/4-ComputerVision/07-ConvNets/ConfNetsTF.ipynb +++ b/4-ComputerVision/07-ConvNets/ConfNetsTF.ipynb @@ -206,7 +206,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -215,13 +215,14 @@ "text": [ "Model: \"sequential\"\n", "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", + " Layer (type) Output Shape Param # \n", "=================================================================\n", - "conv2d (Conv2D) (None, 24, 24, 9) 234 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 5184) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 10) 51850 \n", + " conv2d (Conv2D) (None, 24, 24, 9) 234 \n", + " \n", + " flatten (Flatten) (None, 5184) 0 \n", + " \n", + " dense (Dense) (None, 10) 51850 \n", + " \n", "=================================================================\n", "Total params: 52,084\n", "Trainable params: 52,084\n", @@ -255,7 +256,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -263,15 +264,15 @@ "output_type": "stream", "text": [ "Epoch 1/5\n", - "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0315 - acc: 0.9903 - val_loss: 0.0358 - val_acc: 0.9894\n", + "1875/1875 [==============================] - 15s 7ms/step - loss: 0.2099 - acc: 0.9410 - val_loss: 0.0879 - val_acc: 0.9735\n", "Epoch 2/5\n", - "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0282 - acc: 0.9909 - val_loss: 0.0343 - val_acc: 0.9891\n", + "1875/1875 [==============================] - 13s 7ms/step - loss: 0.0858 - acc: 0.9753 - val_loss: 0.0682 - val_acc: 0.9791\n", "Epoch 3/5\n", - "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0267 - acc: 0.9920 - val_loss: 0.0379 - val_acc: 0.9891\n", + "1875/1875 [==============================] - 13s 7ms/step - loss: 0.0665 - acc: 0.9808 - val_loss: 0.0553 - val_acc: 0.9829\n", "Epoch 4/5\n", - "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0253 - acc: 0.9924 - val_loss: 0.0309 - val_acc: 0.9918\n", + "1875/1875 [==============================] - 15s 8ms/step - loss: 0.0582 - acc: 0.9835 - val_loss: 0.0513 - val_acc: 0.9835\n", "Epoch 5/5\n", - "1875/1875 [==============================] - 6s 3ms/step - loss: 0.0239 - acc: 0.9930 - val_loss: 0.0341 - val_acc: 0.9896\n" + "1875/1875 [==============================] - 14s 8ms/step - loss: 0.0527 - acc: 0.9847 - val_loss: 0.0503 - val_acc: 0.9833\n" ] } ], diff --git a/4-ComputerVision/07-ConvNets/README.md b/4-ComputerVision/07-ConvNets/README.md index 31f2ceba..669f662a 100644 --- a/4-ComputerVision/07-ConvNets/README.md +++ b/4-ComputerVision/07-ConvNets/README.md @@ -24,9 +24,26 @@ The way CNNs work is based on the following important ideas: ![Hierarchical Feature Extraction](images/FeatureExtractionCNN.png) + ## Continue in Notebook Let's continue exploring how convolutional neural networks work, and how we can achieve trainable filters, in corresponding notebooks: * [Convolutional Neural Networks - PyTorch](ConvNetsPyTorch.ipynb) * [Convolutional Neural Networks - Tensorflow](ConvNetsTF.ipynb) + +## Pyramid Architecture + +Most of CNNs used for image processing follow so-called pyramid architecture. First convolutional layer applied to the original images typically has relatively low number of filters (8-16), which correspond to different pixel combinations, such as horizontal/vertical lines of strokes. At the next level, we reduce the spatial dimension of the network, and increase the number of filters, which corresponds to more possible combinations of simple features. With each layer, as we move towards the final classifier, spatial dimensions of the image decrease, and the number of filters grow. + +As an example, let's look at the architecture of VGG-16, a network that achieved 92.7% accuracy in ImageNet top-5 classification in 2014: + +![ImageNet Layers](images/vgg-16-arch1.jpg) + +![ImageNet Pyramid](images/vgg-16-arch.jpg) + +[**Often Used CNN Architectures**](CNN_Architectures.md) + +## CNNs for Other Tasks + +While CNNs are most often used for Computer Vision tasks, they are generally good for extracting fix-sized patterns. For example, if we are dealing with sounds, we may also want to use CNNs to look for some specific patterns in audio signal - in which case filters would be 1-dimensional (and this CNN would be called 1D-CNN). 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\n", + "image/png": 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OpenCVTextNotebook -7Convolutional Neural NetworksTextPyTorchTensorflow -8Pre-trained Networks and Transfer LearningTextPyTorchTensorflow +7Convolutional Neural NetworksText
ArchitecturesPyTorchTensorflow +8Pre-trained Networks and Transfer LearningTextPyTorchTensorflow 9Autoencoders and VAEsTextPyTorchTensorflow 10 Generative Adversarial NetworksTextPyTorchTensorflow 11Object DetectionTextPyTorchTensorflow