Introduction to Neural Networks and Deep Learning from Scratch

Описание: If you're willing to understand how neural networks work behind the scene and debug the back-propagation algorithm step by step by yourself, these slides should be a good starting point.

We will cover deep learning popular applications, the concept of the artificial neuron, and how it relates to the biological one, the perceptron, and the multi-layer one. We'll also dive in activation functions, loss functions, and formalize the training of a neural net via the back-propagation algorithm.

In the last part, you'll learn how to code a fully functioning trainable neural network from scratch. In pure python code only, with no frameworks involved.

Article: https://ahmedbesbes.com/introduction-...
To learn more about deep learning and leverage the existing resources:   / my-top-resources-to-learn-deep-learning  

All the code is available on my GitHub repo: https://github.com/ahmedbesbes/Neural...

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