Welcome to TensorFlow Fundamentals Learning Path!
This repository contains Jupyter Notebook files for Microsoft Learn modules on TensorFlow. You can get the best learning experience if you take this learning path on Microsoft Learn, however, this repository with notebooks can also be used for both theoretical content and experimentation.
This course has been authored by Cassie Breviu, Dmitry Soshnikov and Beatriz Stollnitz, with some contributions from Seth Juarez and Ari Bornstein.
- Module 1 - Introduction to TensorFlow using Keras
- Module 2 - Introduction to computer vision with TensorFlow
- Module 3 - Introduction to natural language processing with TensorFlow
- Module 4 - Introduction to audio classification with TensorFlow
- Module 5 - Going beyond Keras - customizing with TensorFlow
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
Microsoft and any contributors grant you a license to the Microsoft documentation and other content in this repository under the Creative Commons Attribution 4.0 International Public License, see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the LICENSE-CODE file.
Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries. The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks. Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.
Privacy information can be found at https://privacy.microsoft.com/en-us/
Microsoft and any contributors reserve all other rights, whether under their respective copyrights, patents, or trademarks, whether by implication, estoppel or otherwise.