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.

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Data Science: Deep Learning in Python

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

Install TensorFlow