Neural Networks Demystified, Part 3: Gradient Descent

This time we'll work on strategies for training our neural network. 

Supporting Code 

Link to Yann's Talk

Neural Networks Demystified, Part 2: Forward Propagation

In part 2 we'll cover moving inputs across out network, introduce the equations we'll need, and write some code.

Supporting Code

Neural Networks Demystified, Part 1: Data and Architecture

In this short series, we will build and train a complete Artificial Neural Network in python. New videos every other friday. 

Part 1: Data + Architecture
Part 2: Forward Propagation
Part 3: Gradient Descent
Part 4: Backpropagation
Part 5: Numerical Gradient Checking
Part 6: Training
Part 7: Overfitting, Testing, and Regularization

Supporting Code