Artificial Neural Networks: From Theory to Code

Описание: Artificial Neural Networks: From Theory to Code

Dive into the f Artificial Neural Networks (ANNs) in this comprehensive video. Drawing inspiration from the human brain, ANNs serve as the foundational building blocks for deep learning models.

In this session, I explore how ANNs aim to replicate human-like processing by transforming simple line equations from

y = mx + c to
o = wx + b .

I delve into the intricacies of matrix representation and equation representation, providing a clear understanding of how these networks function.

Towards the end, I walk you through a basic ANN code, demonstrating the practical application of the concepts discussed. For those interested in getting hands-on, the code used in this video is available on GitHub.
https://github.com/sajjadrahman56/Learn-ML...

Whether you're a beginner just starting out or an experienced professional looking to refresh your knowledge, this video serves as a comprehensive guide to understanding ANNs.


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