The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch

Saleh, Hyatt

  • 出版商: Packt Publishing
  • 出版日期: 2020-07-20
  • 售價: $1,200
  • 貴賓價: 9.5$1,140
  • 語言: 英文
  • 頁數: 330
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1838989218
  • ISBN-13: 9781838989217
  • 相關分類: DeepLearning人工智慧
  • 立即出貨 (庫存=1)

商品描述

Get a head start in the world of AI and deep learning by developing your skills with PyTorch

Key Features

  • Learn how to define your own network architecture in deep learning
  • Implement helpful methods to create and train a model using PyTorch syntax
  • Discover how intelligent applications using features like image recognition and speech recognition really process your data

Book Description

Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you're starting from scratch.

It's no surprise that deep learning's popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you'll use PyTorch to understand the complexity of neural network architectures.

The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You'll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you'll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues.

By the end of this book, you'll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps.

What you will learn

  • Explore the different applications of deep learning
  • Understand the PyTorch approach to building neural networks
  • Create and train your very own perceptron using PyTorch
  • Solve regression problems using artificial neural networks (ANNs)
  • Handle computer vision problems with convolutional neural networks (CNNs)
  • Perform language translation tasks using recurrent neural networks (RNNs)

Who this book is for

This deep learning book is ideal for anyone who wants to create and train deep learning models using PyTorch. A solid understanding of the Python programming language and its packages will help you grasp the topics covered in the book more quickly.

商品描述(中文翻譯)

在AI和深度學習的世界中,通過使用PyTorch來開發你的技能,獲得一個頭腦的啟動。

主要特點:
- 學習如何在深度學習中定義自己的網絡架構
- 使用PyTorch語法實現有用的方法來創建和訓練模型
- 了解智能應用程序(如圖像識別和語音識別)如何處理數據

書籍描述:
想要掌握最受歡迎的深度學習機器學習庫之一PyTorch嗎?《Deep Learning with PyTorch Workshop》將幫助你做到這一點,即使你從零開始,也能快速入門使用PyTorch進行深度學習。

近年來,深度學習的受歡迎程度急劇上升,得益於智能應用程序(如自動駕駛車輛、聊天機器人和語音助手)的出現,使我們的生活更加便利。本書將帶你進入深度學習的世界,使用PyTorch來理解神經網絡架構的複雜性。

《Deep Learning with PyTorch Workshop》從深度學習及其應用的介紹開始。你將探索PyTorch的語法,學習如何定義網絡架構並訓練模型。接下來,你將學習三種主要的神經網絡架構 - 卷積、人工和循環 - 並使用這些網絡解決現實世界的數據問題。後面的章節將向你展示如何創建一個風格轉換模型,從兩個圖像中開發一個新的圖像,最後帶你了解RNN如何存儲記憶以解決關鍵數據問題。

通過閱讀本書,你將掌握PyTorch的基本概念、工具和庫,並能夠開發自己的深度神經網絡和智能應用程序。

你將學到什麼:
- 探索深度學習的不同應用
- 了解PyTorch構建神經網絡的方法
- 使用PyTorch創建和訓練自己的感知器
- 使用人工神經網絡(ANN)解決回歸問題
- 使用卷積神經網絡(CNN)處理計算機視覺問題
- 使用循環神經網絡(RNN)執行語言翻譯任務

適合閱讀對象:
本書適合任何想要使用PyTorch創建和訓練深度學習模型的人。對Python編程語言及其相關套件有扎實的理解將有助於更快地理解本書中的主題。