docs and TensorFlow-Tutorials

These tools are complements: the official TensorFlow documentation provides comprehensive reference material, while the TensorFlow Tutorials offer practical, video-guided learning experiences to apply that knowledge.

docs
61
Established
TensorFlow-Tutorials
51
Established
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 6,300
Forks: 5,363
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 9,275
Forks: 4,126
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About docs

tensorflow/docs

TensorFlow documentation

This project contains the original source files used to build the guides and tutorials found on the TensorFlow website. It takes structured text and code examples as input, transforming them into the web pages that explain how to use TensorFlow. Aspiring machine learning engineers, data scientists, and students learning AI concepts are the primary audience.

machine-learning-education technical-writing developer-documentation ai-learning software-tutorials

About TensorFlow-Tutorials

Hvass-Labs/TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

This collection of tutorials helps you learn and apply deep learning concepts using TensorFlow. It takes you from foundational principles to advanced topics like natural language processing, image captioning, and time-series prediction. Each tutorial provides code examples in Jupyter notebooks and corresponding YouTube videos, designed for anyone looking to understand and implement machine learning models.

deep-learning machine-learning data-science neural-networks AI-development

Related comparisons

docs and TensorFlow-Course docs and TensorFlow-Examples docs and TensorFlow-Course docs and TensorFlow-Examples

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