Neural Networks: Basic theory and architecture types

In this story, I would like to attempt to review and explain, at a high level and trying to use simple language, the theoretical fundamentals behind neural networks, the technologies that derive from them, and the most critical aspects of their implementation using PyTorch. I will also point to examples of use cases that I have documented in other articles.

Neural Networks, as their name implies, are complex systems composed of neurons. The power of the network comes from interconnections …

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