notebooks and pytorch_notebooks
About notebooks
dataflowr/notebooks
code for deep learning courses
This project provides practical, hands-on examples for learning deep learning concepts and techniques using PyTorch. It takes you from foundational elements like tensors and automatic differentiation to advanced topics such as transformers and diffusion models. The materials are designed for students and practitioners who want to understand and implement deep learning models for various tasks.
About pytorch_notebooks
omarsar/pytorch_notebooks
A collection of PyTorch notebooks for learning and practicing deep learning
This collection of interactive notebooks helps you learn and practice deep learning concepts. It takes you through fundamental building blocks to training neural networks and image classification models. Each notebook provides exercises to deepen your understanding and encourages further experimentation, perfect for anyone starting their deep learning journey.
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