TensorFlow-Course and TensorFlow-Examples

TensorFlow-Course
51
Established
TensorFlow-Examples
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 16,323
Forks: 3,161
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 43,799
Forks: 14,797
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About TensorFlow-Course

instillai/TensorFlow-Course

:satellite: Simple and ready-to-use tutorials for TensorFlow

This project provides easy-to-understand tutorials for TensorFlow, a popular open-source software library for machine learning. It offers clear source code examples and documentation to help you learn how to build and implement machine learning models. It's designed for data scientists, machine learning engineers, and researchers who want to quickly grasp and effectively use TensorFlow for their projects.

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

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

Related comparisons

TensorFlow-Course and docs TensorFlow-Course and TensorFlow-Tutorials TensorFlow-Course and TensorFlow-World TensorFlow-Course and docs TensorFlow-Course and TensorFlow-Tutorials

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