docs and TensorFlow-Examples

One is the official documentation for TensorFlow, while the other is a collection of community-contributed examples and tutorials, making them complementary resources for learning and using TensorFlow.

docs
61
Established
TensorFlow-Examples
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: 43,799
Forks: 14,797
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
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-Examples

aymericdamien/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

This collection of examples helps developers learn how to build machine learning models using TensorFlow 2.0+. It takes various types of data, like images or numerical datasets, and shows how to process it to train models that can perform tasks like image classification, regression, or even generate new images. The intended users are Python developers who want practical, clear code examples for implementing machine learning techniques.

machine-learning-development deep-learning-implementation neural-network-building data-science-programming AI-model-training

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