IinjyI/Hands-On-Neural-Networks
A series of hands-on notebooks for beginners in neural networks. [To be updated]
These hands-on labs guide you through building neural networks from the ground up. You'll learn the mathematical foundations, set up your development environment, and then construct various neural network models like CNNs for image classification and RNNs/LSTMs for sequence analysis. This is for anyone looking to understand and implement neural networks using PyTorch.
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Use this if you are a beginner interested in learning the core concepts and practical implementation of neural networks with PyTorch through guided exercises.
Not ideal if you are an experienced machine learning practitioner seeking advanced topics or a quick reference for specific PyTorch functionalities.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 01, 2025
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