Deep Learning with Python, Second Edition

Deep Learning with Python, Second Edition pdf epub mobi txt 电子书 下载 2025

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 AI research, with a focus on abstraction and 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.

出版者:Manning Publications
作者:François Chollet
出品人:
页数:400
译者:
出版时间:2020-6-4
价格:USD 49.99
装帧:Paperback
isbn号码:9781617296864
丛书系列:
图书标签:
  • DeepLearning 
  • Python 
  • DataScience 
  • 机器学习实践 
  • 机器学习 
  • 2020 
  • 数学和计算机 
  •  
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Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You’ll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. 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.

what's inside

Deep learning from first principles

Image-classification, imagine segmentation, and object detection

Deep learning for natural language processing

Timeseries forecasting

Neural style transfer, text generation, and image generation

具体描述

读后感

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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...  

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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~...  

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