Header Ads

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.

Created by Lazy Programmer Inc.
Last updated 6/2017
English
What Will I Learn?
  • 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

No comments