Data Science: Deep Learning in Python
A guide for writing your own neural network in Python and Numpy, and how to do it in Google's TensorFlow.
Code a neural network from scratch in Python and numpy
Code a neural network using Google's TensorFlow
Describe the various terms related to neural networks, such as "activation", "backpropagation" and "feedforward"
Describe different types of neural networks and the different types of problems they are used for
Derive the backpropagation rule from first principles
Create a neural network with an output that has K > 2 classes using softmax