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2024-12-25
Deep Learning with Python 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
intro
评分keras之父的书,简洁易懂
评分Keras作者的书,有些很有意思的例子,讲得不深,更像是Keras的代码示例,挺实用的,看完基本可以上手写了,里面套来解决各种常见问题的代码模板几乎都有。
评分9分好在哪里?
评分之前读过本书作者的 blog 文章 User experience design for APIs,明白他能把很复杂的问题简明扼要地讲清楚,这本书也不例外,把很多道理讲透了。适合初学者入门,也适合入门者回顾基础知识。
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.
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...
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...
评分本书自出版以来收到众多好评,因为是 Keras 作者写的书,所以全书基本围绕着 Keras 讲深度学习的各种实现,从 CNN,RNN到GAN等等,总体偏入门,但也承载着很多作者对深度学习整体性的思考。值得一提的是作者推荐用GPU 跑书中的例子,这不是开玩笑, 用CPU 跑你会感到很绝望的~...
评分 评分Deep Learning with Python 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024