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Overview
The MOST in-depth look at neural network theory for machine learning, with both pure Python and Tensorflow code 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 numpyCode a neural network using Google's TensorFlowDescribe different types of neural networks and the different types of problems they are used forDerive the...
Syllabus
- Welcome
- Review
- Preliminaries: From Neurons to Neural Networks
- Classifying more than 2 things at a time
- Training a neural network
- Practical Machine Learning
- TensorFlow, exercises, practice, and what to learn next
- Project: Facial Expression Recognition
- Backpropagation Supplementary Lectures
- Higher-Level Discussion
Instructor
Lazy Programmer Inc.
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