##Introduction to Deep Learning and NLP

Requirements to run the notebooks

• Anaconda for python 2
• Keras

Link to the slides

Topics:

1. What is deep learning?
2. Motivation: Some use cases where it has produced state-of-art results
3. Basic building blocks of Neural networks (Neuron, activation function, back propagation algorithm, gradient descent algorithm)
4. Supervised learning (multi-layer perceptron, recurrent neural network) - notebook
5. Introduction to word2vec - notebook
6. Introduction to Recurrent Neural Networks
7. Text classification using RNN - notebook
8. Impact of GPUs (Some practical thoughts on hardware and software)