Deep Learning with Python 在线电子书 图书标签: 深度学习 Python 机器学习 人工智能 Keras DeepLearning 计算机 编程
发表于2025-02-18
Deep Learning with Python 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025
只看了part2,虽然理论讲的不多,但绝不仅仅是keras in action,作者还列了很多基于自己经验觉得能work的trick,最后一章讲自己对deep learning未来的看法,跟软件工程结合起来也很有意思
评分只看了part2,虽然理论讲的不多,但绝不仅仅是keras in action,作者还列了很多基于自己经验觉得能work的trick,最后一章讲自己对deep learning未来的看法,跟软件工程结合起来也很有意思
评分A fantastic book I read these days, not just because the content quality, but also the vision author would like to take us to, the last sentence is remarkable: 1. Staying up to date in a fast-moving field 2. Practice on real-world problems using Kaggle 3. Read about the latest developments on arXiv 4. Explore the Keras ecosystem
评分对新手太友好了,两三天看完就可以上手项目了
评分keras之父的书,简洁易懂
François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
电子版8.4节,从300页开始出现了一个明显的错误,包括代码在内。 原文及代码中 decoder 使用 z = z_mean + exp(z_log_variance) * epsilon 生成 latent space 中的一个点,再依靠这些点的分布生成图像,这实际是对原图像分布的还原过程。 高斯分布可以使用 N~(μ, σ) 来描述,...
评分 评分电子版8.4节,从300页开始出现了一个明显的错误,包括代码在内。 原文及代码中 decoder 使用 z = z_mean + exp(z_log_variance) * epsilon 生成 latent space 中的一个点,再依靠这些点的分布生成图像,这实际是对原图像分布的还原过程。 高斯分布可以使用 N~(μ, σ) 来描述,...
评分 评分目前最通俗易懂的深度学习入门书,由Keras之父执笔。大神不但技术了得,文笔也不一般,真的就是为了让尽可能多的人能够使用深度学习而写的这本书,涵盖了深度学习的基础知识、Keras使用模式以及深度学习最佳实践。 学习本书需要具备基础的Python知识,但不需要深度学习或者机器...
Deep Learning with Python 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025