Deep Learning - Google

Lesson 1: From Machine Learning to Deep Learning

• Understand the historical context and motivation for Deep Learning.
• Set up a basic supervised classification task and train a black box classifier on it.
• Train a logistic classifier “by hand”Optimize a logistic classifier using gradient descent, SGD, Momentum and AdaGrad.

Lesson 2: Deep Neural Networks

• Train a simple deep network.
• Effectively regularize a simple deep network.
• Train a competitive deep network via model exploration and hyperparameter tuning.

Lesson 3: Convolutional Neural Networks

• Train a simple convolutional neural net.
• Explore the design space for convolutional nets.

Lesson 4: Deep Models for Text and Sequences

• Train a text embedding model.
• Train a LSTM model.