- 主頁 /
- 書籍 /
- 電腦和技術 /
- 電腦科學 /
- AI & Machine Learning /
- Expert Systems /
- Mastering PyTorch: Create and deploy deep lea...
Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
88% of respondents would recommend this to a friend
TWD 1652
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 美國
QTY:
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
產品詳情
- Master advanced techniques and algorithms for machine learning with PyTorch using real-world examplesUpdated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networksGet With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesUnderstand how to use PyTorch to build advanced neural network modelsGet the best from PyTorch by working with Hugging Face, fastai, PyTorch Lightning, PyTorch Geometric, Flask, and DockerUnlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworksBook DescriptionPyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models.You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face.By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learnImplement text, vision, and music generation models using PyTorchBuild a deep Q-network (DQN) model in PyTorchDeploy PyTorch models on mobile devices (Android and iOS)Become well versed in rapid prototyping using PyTorch with fastaiPerform neural architecture search effectively using AutoMLEasily interpret machine learning models using CaptumDesign ResNets, LSTMs, and graph neural networks (GNNs)Create language and vision transformer models using Hugging FaceWho this book is forThis deep learning with PyTorch book is for data scientists, machine learning engineers, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning models using PyTorch. This book is ideal for those looking to switch from TensorFlow to PyTorch. Working knowledge of deep learning with Python is required.Table of ContentsOverview of Deep Learning using PyTorchDeep CNN architecturesCombining CNNs and LSTMsDeep Recurrent Model ArchitecturesAdvanced Hybrid ModelsGraph Neural NetworksMusic and Text Generation with PyTorchNeural Style TransferDeep Convolutional GANsImage Generation Using DiffusionDeep Reinforcement LearningModel Training OptimizationsOperationalizing PyTorch Models into ProductionPyTorch on Mobile DevicesRapid Prototyping with PyTorchPyTorch and AutoMLPyTorch and Explainable AIRecommendation Systems with TorchRecPyTorch and Hugging Face
| Publisher | Packt Publishing |
| Publication date | May 31, 2024 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 558 pages |
| ISBN-10 | 1801074305 |
| ISBN-13 | 978-1801074308 |
| Item Weight | 3.53 ounces (100.08 grams) |
| Dimensions | 7.5 x 1.25 x 9.25 inches (19.1 x 3.2 x 23.5 cm) |
產品描述
客戶問題與解答
-
問題:
如何從 Ubuy 在線購物 Mastering PyTorch: Create and deploy deep learning?
Answer: 從 Ubuy 在線購物 Mastering PyTorch: Create and deploy deep learning 非常簡單。. 您只需搜索產品,在結賬時選擇運輸方式,然後將其運送到您所在的位置。 -
問題:
Mastering PyTorch: Create and deploy deep learning 可以在 Taiwan 在線購物嗎?
Answer: 是的,您可以在 Ubuy Taiwan 以合理的價格購買該產品。. Mastering PyTorch: Create and deploy deep learning 在本地不可用,但您可以信任我們的快遞服務。 -
問題:
下訂單後需要多長時間才能收到產品?
Answer: 您訂購的產品的交貨時間根據您訂購的商品和您選擇的運輸方式而有所不同。. 結賬時會提到預計送貨時間,所以購物時請放心。
Expert Systems Editorial Review
Customer Reviews & Ratings
-
5 星
69%
-
4 星
12%
-
3 星
3%
-
2 星
8%
-
1 星
8%
評論這個產品
和其他客戶分享您的想法
Customers also viewed these products
Product Price History
重要資訊
- 限制:對於國際運輸的產品,請注意任何製造商保修可能無效;製造商服務選項可能不可用;產品手冊、說明和安全警告可能不是目的地國家的語言;產品(及隨附材料)的設計可能不符合目的地國家的標準、規範和標籤要求;並且產品可能不符合目的地國家的電壓和其他電氣標準(如果適用,需要使用適配器或轉換器)。收件人有責任確保產品可以合法進口到目的地國家。當從Ubuy或其關聯公司訂購時,收件人是記錄在案的進口人,並且必須遵守目的地國家的所有法律和法規。
- 由於Ubuy是一個全球搜索引擎,因此並非Ubuy上列出的所有產品都在出售。產品受出口/貿易法規的約束。
TWD 1652
立即訂購並活動它 Sunday, 十月 18
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.