golbin/TensorFlow-Tutorials

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This project provides practical, step-by-step code examples to help developers learn TensorFlow from the ground up. It covers fundamental concepts like linear regression and neural networks, through to advanced models such as CNNs, RNNs, and GANs. Developers new to machine learning and deep learning will use this to quickly grasp how to implement various models in TensorFlow.

2,128 stars. No commits in the last 6 months.

Use this if you are a developer learning deep learning and TensorFlow, and you want simplified code examples to understand core concepts and common model implementations.

Not ideal if you are looking for in-depth theoretical explanations or highly optimized, production-ready code implementations.

deep-learning-fundamentals machine-learning-tutorials neural-network-implementation TensorFlow-practice AI-model-development
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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2,128

Forks

977

Language

Python

License

Last pushed

Jan 04, 2023

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