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Deep-Learning-with-TensorFlow-book is an open-source deep learning book based on TensorFlow 2.0. It combines theory with practical examples, making it suitable for beginners who want to learn deep learning through hands-on code. The repository includes the PDF book, companion source code, course slides, and notebook-style materials. It covers core machine learning and deep learning concepts through TensorFlow-based implementation. The project also supports educational use, with materials that can be adopted by students, self-learners, and instructors. Overall, it is a complete learning package for understanding modern deep learning workflows through TensorFlow 2.0 examples.
Features
- Open-source TensorFlow 2.0 deep learning book
- Theory and practical implementation focus
- PDF book, source code, and course slide materials
- Notebook-based learning resources
- Beginner-friendly deep learning structure
- Useful for self-study, teaching, and classroom reference
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