TensorFlow-Tutorials and TensorFlow-Course

Both projects are educational resources providing TensorFlow tutorials, making them competitors for users seeking to learn TensorFlow through guided examples.

TensorFlow-Tutorials
51
Established
TensorFlow-Course
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: 9,275
Forks: 4,126
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 16,323
Forks: 3,161
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

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

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

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