This course introduces and tries to demystify neural networks with some small videos explaining topics such as gradient descent, forward propagation and back propagation and overfitting.
Overview
Syllabus
Neural Networks Demystified [Part 1: Data and Architecture].
Neural Networks Demystified [Part 2: Forward Propagation].
Neural Networks Demystified [Part 3: Gradient Descent].
Neural Networks Demystified [Part 4: Backpropagation].
Neural Networks Demystified [Part 5: Numerical Gradient Checking].
Neural Networks Demystified [Part 6: Training].
Neural Networks Demystified [Part 7: Overfitting, Testing, and Regularization].
Taught by
Welch Labs
