deep-div/AI-ML-DL-DS-Playground
A collection of simple and practical examples of ANN, CNN, and RNN models using PyTorch. Perfect for learning core deep learning architectures through code.
This collection provides practical, ready-to-run code examples for building artificial intelligence models like neural networks. It helps you understand how deep learning works by showing you concrete implementations. You can input various datasets and get working models for common AI tasks, making it ideal for students, researchers, or practitioners learning to apply deep learning.
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Use this if you want to learn or apply deep learning concepts by seeing and running actual code examples rather than reading theoretical explanations.
Not ideal if you're looking for an extensive academic textbook, pre-trained models for immediate deployment, or a library for high-level API calls without understanding the underlying mechanics.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Aug 17, 2025
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