Data Science: Deep Learning in Python
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
Created by Lazy Programmer Inc. English [Auto-generated], Portuguese [Auto-generated], 1 more
This course includes
- 10.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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"
- Install TensorFlow
