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英文名称：《Deep Learning: From Basics to Practice》 本书从基本概念和理论入手，通过近千张图和简单的例子由浅入深地讲解深度学习的相关知识，且不涉及复杂的数学内容。 本书适合想要了解和使用深度学习的人阅读，也可作为深度学习教学培训领域的入门级参考用 ...
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容，聚集了中文互联网科技、商业、影视 ...
Element of Statistical Learning，Machine Learning: A Probability Perspective; Pattern Recognition and Machine Learning , 统计学习方法; Deep Learning，机器学习(周志华) 吴恩达的Coursera课程，Introduction to Statistical Learning; Python Machine Learning，集体编程智慧
Deep Learning 书已经完结。 新智元 有一期文章给出了他们整理的DL pdf版资料，完整的20章内容。 我传到了百度云上，下面是链接和密钥：
深度学习（Deep Learning） 神经网络Linear、FC、FFN、MLP、Dense Layer等区别是什么？ 细分这几个模块叫法的本质区别 显示全部 . 关� ...
本文后续： Wasserstein GAN最新进展：从weight clipping到gradient penalty，更加先进的Lipschitz限制手法 在GAN的相关研究如火如荼甚至可以说是泛滥的今天，一篇新鲜出炉的arXiv论文《 Wasserstein GAN 》却在Reddit的Machine Learning频道火了，连Goodfellow都在帖子里和大家热烈讨论 ，这篇论文究竟有什么了不得的地方呢？
深度学习（Deep Learning） 相差2.5k，用于ai深度学习，买4090还是4090d？ 一个是技嘉4090，一个是索泰4090d，拿不定主� ...
在深度探讨machine learning和data science的联系之前，这里简要地讨论一下machine learning 和deep learning。machine learning是一套算法，来训练数据集做预测或者采取行动以使得系统最优化。举例来说，supervised classification algorithms被用来根据历史数据将想要贷款的客户分成预期好的和预期差的(good or bad prospects ...
深度学习（Deep Learning） TensorFlow 学习. PyTorch. 做机器学习深度学习用python还是matlab比较好？ 想选个工具用来写论文做实验，� ...
深度学习（Deep Learning） ROCm. 为什么做GPU计算，深度学习用amd显卡的很少，基本都nvidia？ 如题，amd显卡除了打游戏，干工作好 ...
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