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Gradient Descent and Backpropagation using Python From Scratch | Neural Networks | ML/AI | CloudxLab

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Welcome to a short tutorial on how to code Backpropagation Algorithm for scratch.
Using the Backpropagation algorithm, the artificial neural networks are trained.
We are going to learn to code the Backpropagation algorithm in python without using any library.
Project Link:
Following are the concepts that are covered in this course:
Introduction - 00:00 - 1:22
Checking out the repository 1:23 - 4:06
Python:
Python Functions 4:20 - 7:23 -
Python Variable arguments 7:28 - 10:47
Python Passing function as argument 10:53 - 14:06
Differentiation:
Differentiation Simple - 14:25 - 27:46
Differentiation Partial Derivative - 27:53 - 40:30
Differentiation Chain Rule - 40:43 - 48:00
Gradient Descent:
Intro for digression - 48:01 - 48:37
Recap of ML & Gradient Descent - 48:37 - 1:06:44
Gradient Descent - Coded - 1:06:45 - 1:24:44
Back Propagation:
Intro for digression - 1:24:45 - 1:25:01
Recap of neural networks - 1:25:02 - 1:42:41
Backpropagation Coded: 1:42:41 - 2:10:56
Let us know in the comments below if you find it helpful.
________
Using the Backpropagation algorithm, the artificial neural networks are trained.
We are going to learn to code the Backpropagation algorithm in python without using any library.
Project Link:
Following are the concepts that are covered in this course:
Introduction - 00:00 - 1:22
Checking out the repository 1:23 - 4:06
Python:
Python Functions 4:20 - 7:23 -
Python Variable arguments 7:28 - 10:47
Python Passing function as argument 10:53 - 14:06
Differentiation:
Differentiation Simple - 14:25 - 27:46
Differentiation Partial Derivative - 27:53 - 40:30
Differentiation Chain Rule - 40:43 - 48:00
Gradient Descent:
Intro for digression - 48:01 - 48:37
Recap of ML & Gradient Descent - 48:37 - 1:06:44
Gradient Descent - Coded - 1:06:45 - 1:24:44
Back Propagation:
Intro for digression - 1:24:45 - 1:25:01
Recap of neural networks - 1:25:02 - 1:42:41
Backpropagation Coded: 1:42:41 - 2:10:56
Let us know in the comments below if you find it helpful.
________
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