Deep Learning with Python pdf epub mobi txt 電子書 下載2025
- 深度學習
- Python
- 機器學習
- 人工智能
- Keras
- DeepLearning
- 計算機
- 編程
- Deep Learning
- Python
- Machine Learning
- Neural Networks
- Data Science
- Artificial Intelligence
- TensorFlow
- Keras
- Programming
具體描述
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.
著者簡介
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.
圖書目錄
1.What is deep learning?
2.Before we begin: the mathematical building blocks of neural networks
3.Getting started with neural networks
4.Fundamentals of machine learning
PART 2 - DEEP LEARNING IN PRACTICE
5.Deep learning for computer vision
6.Deep learning for text and sequences
7.Advanced deep-learning best practices
8.Generative deep learning
9.Conclusions
appendix A - Installing Keras and its dependencies on Ubuntu
appendix B - Running Jupyter notebooks on an EC2 GPU instance
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讀後感
第一次写书评，因为第一次看技术书感觉大有收获（也许是我看的不多）。 我之前学过c++，用python做过大作业，所以一开始用这本书感觉刚好，如果没有python基础，那可能不太适合。 这本书一个最大的优点就是可以实际上手，加深自己的理解，在上手的过程中，也越发理解到深度学习...
評分对于新手小白我来说是很好的入门介绍，从模型到应用都能略窥一二，顺带这个风格迁移真的很好玩儿，把我身处的城市画成梵高的世界，希望以后能从模仿到创新实现突破吧。 在看这本书期间我正好在做学校的大作业，有很多实用的评价模型，调参的部分都用在了大作业中，学以致用，越...
評分用戶評價
良心之作，適閤入門
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Constituent of the missing parts from papers.
评分之前讀過本書作者的 blog 文章 User experience design for APIs，明白他能把很復雜的問題簡明扼要地講清楚，這本書也不例外，把很多道理講透瞭。適閤初學者入門，也適閤入門者迴顧基礎知識。
评分深度學習交給你的不僅僅是技術，還有人是如何認識事物的思想，而這也是與哲學更為接近的一部分，也是更為有趣的地方。越來越發現自然科學與哲學之間存在的韆絲萬縷聯係是如此有趣，這也是我喜歡機器學習、模式識彆的原因，超越技術之外的思想可以泛化到對世界的認知，而對“認知”過程和機理的瞭解則開啓瞭最為奇妙的認知旅程——認識自己，則認識世界。在看過《形而上學》之後，看康德會有不一樣的體會，而這些書應該也會為我看《GEB》奠定很好的基礎吧。
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