Optimize images and update links

2022-06-17 17:10:39 +03:00 · 2022-06-17 17:10:39 +03:00 · abc0d0c4c1
parent 9e0673f10a
commit abc0d0c4c1
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--- a/lessons/4-ComputerVision/08-TransferLearning/README.md
+++ b/lessons/4-ComputerVision/08-TransferLearning/README.md
@ -51,7 +51,7 @@ To improve the result, we can add another term into the loss function, which is

 Similar approach can be used to perform so-called **adversarial attacks** on a neural network. Suppose we want to fool a neural network and make a dog look like a cat. If we take dog's image, which is recognized by a network as a dog, we can then tweak it a little but using gradient descent optimization, until the network starts classifying it as a cat:

-![Picture of a Dog](images/dog-from-unsplash.jpg) | ![Picture of a dog classified as a cat](images/adversarial-dog.png)
+![Picture of a Dog](images/original-dog.png) | ![Picture of a dog classified as a cat](images/adversarial-dog.png)
 -----|-----
 *Original picture of a dog* | *Picture of a dog classified as a cat*

--- a/lessons/4-ComputerVision/08-TransferLearning/images/adversarial-dog.png
+++ b/lessons/4-ComputerVision/08-TransferLearning/images/adversarial-dog.png
--- a/lessons/4-ComputerVision/08-TransferLearning/images/ideal-cat.png
+++ b/lessons/4-ComputerVision/08-TransferLearning/images/ideal-cat.png
--- a/lessons/4-ComputerVision/08-TransferLearning/images/ideal-zebra.png
+++ b/lessons/4-ComputerVision/08-TransferLearning/images/ideal-zebra.png
--- a/lessons/4-ComputerVision/08-TransferLearning/images/original-dog.png
+++ b/lessons/4-ComputerVision/08-TransferLearning/images/original-dog.png