GitHub - devspidr/PYTORCH_BASICS: A curated collection of foundational PyTorch notebooks covering tensor operations, loss functions, weight initialization, and NumPy interoperability. Designed to build a conceptual bridge from numerical computing to neural network development. Ideal for beginners seeking hands-on experience with PyTorch's core functionalities and API design.

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A curated collection of foundational PyTorch notebooks covering tensor operations, loss functions, weight initialization, and NumPy interoperability. Designed to build a conceptual bridge from numerical computing to neural network development. Ideal for beginners seeking hands-on experience with PyTorch's core functionalities and API design.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
LearningProcess.ipynb		LearningProcess.ipynb
LossFunctions.ipynb		LossFunctions.ipynb
Mixup.ipynb		Mixup.ipynb
Neural_net.ipynb		Neural_net.ipynb
NumpyBridge.ipynb		NumpyBridge.ipynb
Weight Init.ipynb		Weight Init.ipynb
pytorkworking1.ipynb		pytorkworking1.ipynb