TensorFlow Examples

TensorFlow Examples is a tutorial and example repository designed for beginners to easily dive into TensorFlow. The repository includes both notebooks and source codes with explanations for both TF v1 and v2, making it suitable for those who want to find clear and concise examples about TensorFlow. The tutorial covers various topics, including introduction to machine learning, introduction to the MNIST dataset, and basic operations in TensorFlow. It also includes the latest TensorFlow API practices such as layers, estimator, and dataset. The repository is regularly updated, with recent updates including the addition of JAX examples and the migration of default examples to TF2. For TF v1 examples, users can refer to a specific section of the repository. The tutorial is well-structured, starting with prerequisites such as introductions to machine learning and the MNIST dataset, followed by introductory examples like 'Hello World' and basic operations in TensorFlow.

Category

AI/ML

Pricing

Open Source

Official website: https://github.com/aymericdamien/TensorFlow-Examples

Canonical LambdaBase page: https://www.lambdabase.com/tools/tensorflow-examples