内容简介
书名:Probabilistic Deep Learning with Python出版社:Manning Publications
作者:Oliver Duerr, Beate Sick, Elvis Murina
出版年份:2020
电子书格式: pdf
简介:Dive into the world of Probabilistic Deep Learning with this comprehensive guide. Master the techniques of combining probabilistic modeling with deep learning using Python. Learn to build robust and reliable AI systems that can handle uncertainty and noise effectively. This book covers Bayesian neural networks, variational inference, and Markov Chain Monte Carlo methods, equipping you with practical skills for real-world applications. Ideal for data scientists, machine learning engineers, and researchers seeking to advance their deep learning expertise. Enhance your understanding of model uncertainty, improve model interpretability, and build more reliable AI solutions.
ISBN:9781617296079, 16172
