DjangoPeng/tensorflow-101
A TensorFlow course with Jupyter notebooks covering machine learning fundamentals and practical projects including digit recognition, face recognition, and price prediction.
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This repository contains course code and materials for learning TensorFlow, covering both introductory and advanced topics. The curriculum includes hands-on projects such as handwritten digit recognition, captcha recognition, face recognition, and house price prediction using TensorFlow 2. All materials are delivered as Jupyter notebooks, making it suitable for interactive learning.
Frequently asked
- What is DjangoPeng/tensorflow-101?
- A TensorFlow course with Jupyter notebooks covering machine learning fundamentals and practical projects including digit recognition, face recognition, and price prediction.
- Is tensorflow-101 open source?
- Yes — DjangoPeng/tensorflow-101 is an open-source project tracked on heatdrop.
- What language is tensorflow-101 written in?
- DjangoPeng/tensorflow-101 is primarily written in Jupyter Notebook.
- How popular is tensorflow-101?
- DjangoPeng/tensorflow-101 has 482 stars on GitHub.
- Where can I find tensorflow-101?
- DjangoPeng/tensorflow-101 is on GitHub at https://github.com/DjangoPeng/tensorflow-101.