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1
Neural Networks Pt. 1: Inside the Black Box
2
The Chain Rule
3
Gradient Descent, Step-by-Step
4
Neural Networks Pt. 2: Backpropagation Main Ideas
5
Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.
6
Backpropagation Details Pt. 2: Going bonkers with The Chain Rule
7
Neural Networks Pt. 3: ReLU In Action!!!
8
Neural Networks Pt. 4: Multiple Inputs and Outputs
9
Neural Networks Part 5: ArgMax and SoftMax
10
The SoftMax Derivative, Step-by-Step!!!
11
Neural Networks Part 6: Cross Entropy
12
Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation
13
Neural Networks Part 8: Image Classification with Convolutional Neural Networks
Description:
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.

Neural Networks

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#Computer Science #Artificial Intelligence #Neural Networks #Computer Vision #Image Classification #Machine Learning #Gradient Descent #Mathematics #Calculus #Chain Rule #Backpropagation
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Neural Networks Pt. 1: Inside the Black Box