Week - 1 |
Introduction |
Week - 2 |
Perceptron, Perceptron Learning Algorithm |
Week - 3 |
Gradient Learning Algorithm |
Week - 4 |
Feed Forward Neural Networks |
Week - 5 |
Backpropagation Method: Batch Learning, Mini Batch Learning, Stochastic Learning |
Week - 6 |
Deep Neural Networks |
Week - 7 |
Deep Convolutional Neural Networks |
Week - 8 |
Deep Convolutional Neural Networks: Learning Algorithm |
Week - 9 |
Recurrent Neural Networks |
Week - 10 |
Long Short Term Memory |
Week - 11 |
Autoencoders |
Week - 12 |
Overfitting and Regularization |
Week - 13 |
Deep Learning Applications |
Week - 14 |
Project Presentations |