Math for Deep Learning： What You Need to Know to Understand Neural Networks（Ronald T. Kneusel）（No Starch Press 2021）

  • 书名：Math for Deep Learning: What You Need to Know to Understand Neural Networks
  • 出版社：No Starch Press
  • 作者：Ronald T. Kneusel
  • 出版年份：2021
  • 电子书格式： epub
  • 简介：Dive deep into the mathematical foundations of deep learning with this comprehensive guide. Learn the essential mathematical concepts required to grasp neural networks effectively. Perfect for students, researchers, and anyone looking to master the inner workings of deep learning models. Explore essential topics in linear algebra, calculus, and probability, all tailored for deep learning applications. This book equips you with the knowledge to build and interpret deep learning models with confidence.
  • ISBN：9781718501904, 17185
  • 下载地址（点击下载）：
    隐藏内容
    本内容登录后免费查看
声明：本站所有文章，如无特殊说明或标注，均为本站原创发布。任何个人或组织，在未征得本站同意时，禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益，可联系我们进行处理。