【Application Scenarios】

• Educational scenarios: Deep learning teaching and research
• Development scenarios: Learning and practicing deep learning frameworks (supporting PyTorch, NumPy/MXNet, TensorFlow, and PaddlePaddle)

【Target Users】

• Beginners in deep learning
• Students in computer science and related fields
• Researchers and educators

【Core Features】

• Providing theoretical and practical knowledge of deep learning
• Supporting the implementation of multiple deep learning frameworks
• Including rich examples and exercises

【Is It Free】

• Online version is free
• Printed books need to be purchased

【Community Ecosystem】

• Used for teaching in over 500 universities across more than 70 countries
• Having an active online community and discussion area

【Summary】

• "Hands-On Deep Learning" is a deep learning textbook for Chinese readers, with the second edition adding support for PyTorch while retaining implementations for NumPy/MXNet, TensorFlow, and PaddlePaddle, suitable for beginners and advanced learners in deep learning.
• The book is rich in content, balancing theory and practice, and has been adopted as a textbook by many universities worldwide, boasting a broad reader base and vibrant community support.