feat: add notebook tensors with pytorch

[juliocnsouzadev]

Summary by CodeRabbit

• New Features
  • Introduced a guide on tensor operations using PyTorch, including matrix multiplication, forward pass, backpropagation, and neural network basics.
• Documentation
  • Added a comprehensive notebook demonstrating tensor operations and applications in neural networks.

[coderabbitai[bot]]

Walkthrough

The update to the Tensors_with_Pytorch.ipynb notebook is an educational enhancement, detailing the use of tensors within PyTorch for neural network tasks. It seems to focus on the foundational aspects of neural networks like matrix operations, forward and backward passes, and a basic network setup, but does not introduce new public entities.

Changes

File Path	Change Summary
.../Tensors_with_PyTorch.ipynb	Introduced tensor operations, matrix multiplication, forward and backward passes, and basic neural network setup in PyTorch.

🐇✨ To tensors we dive, with PyTorch as our guide, Through matrices we thrive, in neural nets we confide. Backpropagation learned, a network's first stride, A rabbit's cheer for the code, with every tensor multiplied. 🚀🌟

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