- The Deep Learning with PyTorch Workshop
- Hyatt Saleh
- 91字
- 2021-06-18 18:22:24
1. Introduction to Deep Learning and PyTorch
Overview
This chapter introduces the two main topics of this book: deep learning and PyTorch. Here, you will be able to explore some of the most popular applications of deep learning, understand what PyTorch is, and use PyTorch to build a single-layer network, which will be the starting point for you to apply your learning to real-life data problems. By the end of this chapter, you will be able to use PyTorch's syntax to build neural networks, which will be essential in subsequent chapters.
推薦閱讀
- Windows phone 7.5 application development with F#
- ATmega16單片機項目驅動教程
- Cortex-M3 + μC/OS-II嵌入式系統開發入門與應用
- 計算機組裝與系統配置
- 深入淺出SSD:固態存儲核心技術、原理與實戰
- 計算機應用與維護基礎教程
- 硬件產品經理成長手記(全彩)
- Manage Partitions with GParted How-to
- Mastering Manga Studio 5
- 微服務分布式架構基礎與實戰:基于Spring Boot + Spring Cloud
- 計算機組裝與維修技術
- 單片機系統設計與開發教程
- 筆記本電腦維修300問
- 超大流量分布式系統架構解決方案:人人都是架構師2.0
- LPC1100系列處理器原理及應用