Introduction

Neural networks are the backbone of modern AI. In this post we'll explore how they work from the ground up...

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Architecture

A neural network consists of layers of interconnected nodes (neurons). Each connection has a weight that gets tuned during training...

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Backpropagation

Backpropagation is the algorithm that makes learning possible. It calculates the gradient of the loss function with respect to each weight...

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Conclusion

Understanding neural networks deeply will make you a better AI engineer. Start small, experiment often.