romeokienzler/TensorFlow
Jupyter notebooks and tutorial materials for learning TensorFlow 2.x based on published articles.
Not currently ranked — collecting fresh signals.
star history
This repository contains code notebooks and related materials accompanying TensorFlow articles. The content covers TensorFlow 2.x features including eager execution, Keras API integration, distributed training, TF Data, TF SavedModel, TensorFlow Hub, Lite, and JavaScript support. The tutorials include video walkthroughs and hands-on coding exercises for learners to practice TensorFlow concepts.
Frequently asked
- What is romeokienzler/TensorFlow?
- Jupyter notebooks and tutorial materials for learning TensorFlow 2.x based on published articles.
- Is TensorFlow open source?
- Yes — romeokienzler/TensorFlow is an open-source project tracked on heatdrop.
- What language is TensorFlow written in?
- romeokienzler/TensorFlow is primarily written in Jupyter Notebook.
- How popular is TensorFlow?
- romeokienzler/TensorFlow has 2.6k stars on GitHub.
- Where can I find TensorFlow?
- romeokienzler/TensorFlow is on GitHub at https://github.com/romeokienzler/TensorFlow.