Deep_Learning

Assignments in Deep Learning & Neural Network implementations

1. ex1.ipynb - Single neuron
2. ex2.ipynb - Back Propagation (Gradient Descent implementation)
3. ex3.ipynb - CNN ConvNet
4. ex4.ipynb - VGG, CIFAR-10 based
5. ex5.ipynb - VGG-like, CIFAR-10 take 2 (adding improvements: faster convergence)
6. ex6.ipynb - Transfer Learning, VGG16 + fine tune all params
7. ex7.ipynb - Features Visualization, Visualizing convolutional neural networks, cifar10's paches
8. ex8.ipynb - Recurrent Neural Networks: simple RNN || LSTM --> Predicting the next word
9. ex9.ipynb - Generative Adversarial Networks (GAN) Create artificial images