Hvass-Labs/TensorFlow-Tutorials resource

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9267 stars · 4092 forks observed · 2026-08-28

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

A collection of Jupyter Notebook tutorials for beginners in Deep Learning and TensorFlow, each paired with a YouTube video. Topics span linear models, CNNs, Keras, fine-tuning, reinforcement learning, NLP, and machine translation.

Use cases

• learn deep learning with tensorflow from scratch
• tensorflow tutorials for beginners
• learn convolutional neural networks with jupyter notebooks
• introduction to reinforcement learning in tensorflow
• learn natural language processing and machine translation with tensorflow
• video-based machine learning tutorials

When to choose

• you are a beginner wanting well-documented, single-topic tutorials with accompanying YouTube videos
• you prefer runnable Jupyter Notebooks or Google Colab for hands-on learning
• you want coverage of classic deep learning topics from CNNs to RL and NLP

When to avoid

• you need up-to-date tutorials for the latest TensorFlow or PyTorch versions, as the repo was last updated in 2021
• you want advanced or production-grade deep learning guidance
• you prefer text-only courses without video content

Facets

learning-resource · maturity maintenance

machine-learning deep-learning reinforcement-learning nlp deep-learning machine-learning tutorials computer-vision python cross-platform tensorflow jupyter-notebook youtube-videos neural-networks beginner-friendly google-colab natural-language-processing

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