Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

I. THÔNG TIN SẢN PHẨM
Mã sản phẩm : STT782
Nhà xuất bản:  Addison-Wesley Professional; 1st edition (September 18, 2019)
Tác giả :   Jon Krohn, Grant Beyleveld, Aglaé Bassens
Ngôn Ngữ : Tiếng Anh
ISBN      : 0135116694
Số trang    : 416  pages
Hình thức : Bìa Mềm, IN ĐEN TRẮNG
Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao        
Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.++

II. MÔ TẢ SẢN PHẨM
Fully Practical, Insightful Guide to Modern Deep Learning
Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.
World-class instructor and practitioner Jon Krohn―with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens―presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.
You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms.

Discover what makes deep learning systems unique, and the implications for practitioners
Explore new tools that make deep learning models easier to build, use, and improve
Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more
Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects

2. Tác giả
 Jon Krohn, Grant Beyleveld, Aglaé Bassens