Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll...
Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll...
《Deep Learning with PyTorch》第1章 PyTorch库简介 苏尽欢 要为世俗而歌,而不为众声所扰。 前言《Deep Learning with PyTorch》是入门PyTorch的非常好的教程。但是目前只有英文版。 本系列文章通过学习和记录这本书,将原书中的重要知识点用中文进行了详细的记录,并实现书… ...
第1章介绍PyTorch用于深度学习的库及其在“深度学习革命”中的地位,并探讨PyTorch与其他深度学习框架的区别。 第2章通过运行一些预先训练好的网络示例来展示PyTorch的实际应用,演示如何在PyTorch Hub中下载和运行模型。 第3章介绍PyTorch的基本构建组件——张量,介绍张量的一些API,并深入底层介绍一些实现细节。 第4章展示...
Deep Learning with PyTorch是Vishnu Subramanian创作的计算机网络类小说,QQ阅读提供Deep Learning with PyTorch部分章节免费在线阅读,此外还提供Deep Learning with PyTorch全本在线阅读。
Deep Learning with PyTorch 1.x是Laura Mitchell Sri. Yogesh K. Vishnu Subramanian创作的工业技术类小说,QQ阅读提供Deep Learning with PyTorch 1.x部分章节免费在线阅读,此外还提供Deep Learning with PyTorch 1.x全本在线阅读。
《Deep Learning With PyTorch》,一本深受广大深度学习爱好者喜欢的书。这本书由PyTorch官方出品,中文版已经出版啦! 一些线上或线下的关于PyTorch的课程和大学里的计划课程,以及大量的线上博客和教程,使得PyTorch学习起来更容易。然而,关于PyTorch的图书很少。
一、PyTorch深度学习实战 PyTorch核心开发者教你使用 PyTorch 创建神经网络和深度学习系统的实用指南。 这本书详细讲解整个深度学习管道的关键实践,包括 PyTorch张量API、用 Python 加载数据、监控训练以及对结果进行可视化。PyTorch核心知识+真实、完整的案例项目,快速提升读者动手能力。
Machine learning Examples of machine learning in real life Deep learning Applications of deep learning Hype associated with deep learning The history of deep learning Why now? Hardware availability Data and algorithms Deep learning frameworks PyTorch Summary Building Blocks of Neural Networks Installing PyT...
This book will get you up and running with one of the most cutting-edge deep learning libraries—PyTorch. PyTorch is grabbing the attention of deep learning researchers and data science professionals due to its accessibility, efficiency and being more native to Python way of development. You'll ...