[Udemy] Data Science: Deep Learning in Python


The MOST in-depth look at neural network theory, and how to code one with pure Python and Tensorflow
4.6 (3,938 ratings)
29,582 students enrolled
Created by [Lazy Programmer Inc.]
Last updated 10/2018

What you’ll learn

  • Learn how Deep Learning REALLY works (not just some diagrams and magical black box code)
  • Learn how a neural network is built from basic building blocks (the neuron)
  • Code a neural network from scratch in Python and numpy
  • Code a neural network using Google’s TensorFlow
  • 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
  • Describe the various terms related to neural networks, such as “activation”, “backpropagation” and “feedforward”