CS231n Convolutional Neural Networks for Visual Recognition Assignment Solutions by Doron Serebro

I'm just another geek trying to learn computer vision from Stanford's CNN course :)

The solutions are to the 2020 version of assignments (most notable differences are in assignment 3 )

Assignment 1

1. KNN Classifier
2. SVM Classifier
3. SoftMax Classifier
4. 2-Layer Neural Network
5. Image Features

Assignment 2

1. Fully-connected Neural Network
2. Batch Normalization
3. Dropout
4. Convolutional Networks
5. TensorFlow on CIFAR-10

Assignment 3

1. Image Captioning with Vanilla RNNs
2. Image Captioning with LSTMs
3. Network Visualization: Saliency maps, Class Visualization, and Fooling Images
4. Style Transfer
5. Generative Adversarial Networks

License

MIT Open Source

Feel free to use this work as long as you refrence this repo.

Contact: [email protected]