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Building a Neural Network - Binary Classification (ExtendEpochTrain) in Computer Vision (Lesson 40)

In this video, I share what I learned in WorldQuant University about Neural Networks and how they power modern machine learning and computer vision systems. You’ll learn the fundamentals of how neural networks work, including neurons, weights, biases, activation functions, and forward propagation, as well as how models learn patterns from data.

This is part of my journey breaking down complex concepts into simple, practical lessons you can follow along with.

Shout-out: Thanks to WorldQuant University for providing the resources and lab materials used in this lesson!

Special thanks and kudos to 3Blue1Brown for their incredible explanations that make complex mathematical concepts intuitive and easy to understand.

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Check out the full project here: https://github.com/Kamau-Johnson/Buil...

#WorldQuantUniversity #NeuralNetworks #MachineLearning #ComputerVision #DataScience #3Blue1Brown

Видео Building a Neural Network - Binary Classification (ExtendEpochTrain) in Computer Vision (Lesson 40) канала Kamau Johnson
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