aymericdamien/TensorFlow-Examples resource

Health v2 · maintenance only

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Adoption not part of the score

43735 stars · 14657 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of TensorFlow tutorials and example notebooks designed for beginners, covering both TF v1 and v2 APIs. It includes notebooks and source code with explanations spanning basic operations, regression models, and neural networks.

Use cases

• learn tensorflow from scratch
• find example code for building neural networks
• understand difference between tensorflow v1 and v2
• get started with deep learning in python
• see how to implement linear and logistic regression in tensorflow
• study mnist classification examples

When to choose

• you are a beginner wanting clear, concise tensorflow examples
• you prefer learning through runnable notebooks with explanations
• you need both legacy TF1 and modern TF2 code references

When to avoid

• you need production-ready or maintained deep learning code
• you want tutorials for PyTorch or other frameworks
• you need advanced or state-of-the-art model implementations

Facets

learning-resource · maturity maintenance

machine-learning deep-learning deep-learning machine-learning tutorials python tensorflow jupyter-notebooks beginner-friendly neural-networks educational

Member repositories

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markdown · JSON · MCP: product_card(name="aymericdamien/TensorFlow-Examples")