This book provides a comprehensive and practical introduction to deep learning using the Python programming language, employing TensorFlow and Keras – two popular platforms in modern artificial intelligence research and development. The author presents the fundamental concepts of machine learning and artificial neural networks before delving into advanced deep learning architectures such as convolutional neural networks (CNNs) for computer vision, sequential models for sequential data, and natural language processing techniques. The second edition updates many new topics related to TensorFlow 2.x, modern Keras, generative deep learning, Transformer models, and model optimization methods. Through practical examples, illustrative projects, and step-by-step guidance, readers can build, train, and evaluate deep learning models for a variety of real-world problems. In addition to implementation techniques, the book also addresses issues related to model development processes, performance evaluation, and ethical aspects of artificial intelligence. It is a suitable resource for students, data engineers, researchers, and AI learners at all levels, from beginner to advanced.

Ngôn ngữ:	eng
Tác giả:	Chollet, François
Thông tin nhan đề:	Deep Learning with Python
Nhà xuất bản:	Manning Publications Co.
Loại hình:	Giáo trình sách, tham khảo / Bộ sưu tập: Công nghệ thông tin
Mô tả vật lý:	478p.
Năm xuất bản:	2021