Fundamentals of Deep Learning 2nd Edition

I. THÔNG TIN SẢN PHẨM
Mã sản phẩm : STT695
Nhà xuất bản: O'Reilly Media; 2nd edition (June 21, 2022)
Tác giả :  Nithin Buduma, Nikhil Buduma, Joe Papa
Ngôn Ngữ : Tiếng Anh
ISBN      : 149208218X
Số trang    : 387  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
1.Mô tả sản phẩm
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.

The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field.

+) Learn the mathematics behind machine learning jargon
+) Examine the foundations of machine learning and neural networks
+) Manage problems that arise as you begin to make networks deeper
+) Build neural networks that analyze complex images
+) Perform effective dimensionality reduction using autoencoders
+) Dive deep into sequence analysis to examine language
+) Explore methods in interpreting complex machine learning models
+) Gain theoretical and practical knowledge on generative modeling
+) Understand the fundamentals of reinforcement learning

2. Tác giả

Nithin Buduma is one of the first machine learning engineers at XY.ai, a start-up based out of Harvard and Stanford working to help healthcare companies leverage their massive datasets.

Nikhil Buduma is the cofounder and chief scientist of Remedy, a San Francisco-based company that is building a new system for data-driven primary healthcare. At the age of 16, he managed a drug discovery laboratory at San Jose State University and developed novel low-cost screening methodologies for resource-constrained communities.

Joe Papa has over 25 years experience in research & development and is the founder of INSPIRD.ai. He holds an MSEE and has led AI Research teams with PyTorch at Booz Allen and Perspecta Labs. Joe has mentored hundreds of Data Scientists and has taught 6,000+ students across the world on Udemy.