Programming PyTorch for Deep Learning
Creating and Deploying Deep Learning Applications
暫譯: 使用 PyTorch 進行深度學習編程
Ian Pointer
- 出版商: O'Reilly
- 出版日期: 2019-10-29
- 定價: $1,720
- 售價: 9.5 折 $1,634
- 語言: 英文
- 頁數: 200
- 裝訂: Paperback
- ISBN: 1492045357
- ISBN-13: 9781492045359
-
相關分類:
DeepLearning
-
相關翻譯:
基於PyTorch的深度學習 (簡中版)
立即出貨 (庫存=1)
買這商品的人也買了...
-
無瑕的程式碼－敏捷軟體開發技巧守則 + 番外篇－專業程式設計師的生存之道 (雙書合購)$940$700 -
演算法技術手冊, 2/e (Algorithms in a Nutshell: A Practical Guide, 2/e)$580$458 -
$958深度學習 -
Deep Learning｜用 Python 進行深度學習的基礎理論實作$580$458 -
程序員的數學2 : 概率統計$474$450 -
ESP32-CAM 開發板模組(含鏡頭 camera)$550$550 -
Deep Learning 2｜用 Python 進行自然語言處理的基礎理論實作$680$537 -
PyTorch 自然語言處理｜以深度學習建立語言應用程式 (Natural Language Processing with PyTorch)$580$458 -
$281PyTorch 深度學習 (Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch) -
$393深度學習的數學 -
HBase 應用大神：OpenTSDB 時序式資料庫詳解$680$537 -
深入理解 AutoML 和 AutoDL：構建自動化機器學習與深度學習平臺$594$564 -
$1,235Introduction to Natural Language Processing (Hardcover) -
$2,641Deep Learning for Coders with Fastai and Pytorch : AI Applications Without a PhD (Paperback) -
Introduction to Graph Neural Networks (Paperback)$1,760$1,672 -
機器學習｜特徵工程 (Feature Engineering for Machine Learning)$520$411 -
GAN 對抗式生成網路 (GANs in Action: Deep learning with Generative Adversarial Networks)$750$592 -
$2,185Python for Excel: A Modern Environment for Automation and Data Analysis -
$1,140Pytorch Pocket Reference: Building and Deploying Deep Learning Models (Paperback) -
Engineering a Compiler, 3/e (美國原版)$3,680$3,496 -
$2,679Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, 2/e (Paperback) -
Python 工匠｜案例、技巧與開發實戰$550$385 -
邊緣AI｜使用嵌入式機器學習解決真實世界的問題 (AI at the Edge: Solving Real-World Problems with Embedded Machine Learning)$880$695 -
Llama 大模型實踐指南$474$450 -
LLM 大型語言模型的絕世祕笈：27路獨步劍法，帶你闖蕩生成式 AI 的五湖四海 （iThome鐵人賽系列書）$650$507
商品描述
Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.
Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data.
- Learn how to deploy deep learning models to production
- Explore PyTorch use cases in companies other than Facebook
- Learn how to apply transfer learning to images
- Apply cutting-edge NLP techniques using a model trained on Wikipedia
商品描述(中文翻譯)
深度學習正在改變一切。這種機器學習方法已經超越了傳統的計算機視覺技術，對於自然語言處理（NLP）也是如此。如果您希望將深度學習引入您的領域，這本實用的書籍將幫助您掌握使用 Facebook 的 PyTorch 框架的關鍵概念。
一旦作者 Ian Pointer 幫助您在雲端環境中設置 PyTorch，您將學會如何使用該框架創建神經架構，以對圖像、聲音、文本和其他類型的數據進行操作。在書籍結束時，您將能夠創建神經網絡並在多種類型的數據上進行訓練。
- 學習如何將深度學習模型部署到生產環境
- 探索 Facebook 以外的公司中 PyTorch 的應用案例
- 學習如何將遷移學習應用於圖像
- 使用在 Wikipedia 上訓練的模型應用尖端的自然語言處理技術
