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Neural Networks

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Overview

This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.

StatQuest breaks down complicated Statistics and Machine Learning methods into small, bite-sized pieces that are easy to understand. StatQuest doesn't dumb down the material, instead, it builds you up so that you are smarter and have a better understanding of Statistics and Machine Learning.

Syllabus

Neural Networks Pt. 1: Inside the Black Box.
The Chain Rule.
Gradient Descent, Step-by-Step.
Neural Networks Pt. 2: Backpropagation Main Ideas.
Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously..
Backpropagation Details Pt. 2: Going bonkers with The Chain Rule.
Neural Networks Pt. 3: ReLU In Action!!!.
Neural Networks Pt. 4: Multiple Inputs and Outputs.
Neural Networks Part 5: ArgMax and SoftMax.
The SoftMax Derivative, Step-by-Step!!!.
Neural Networks Part 6: Cross Entropy.
Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation.
Neural Networks Part 8: Image Classification with Convolutional Neural Networks.

Taught by

StatQuest with Josh Starmer

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