https://www.udemy.com/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”