Learn all about PyTorch by Innoware Pjp Paperback Book

Description: Learn all about PyTorch by Innoware Pjp Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Learn all about PyTorch PyTorch is a popular open-source machine learning framework developed by Facebooks artificial intelligence research team. It is based on the Torch library, which is a scientific computing framework that is widely used in machine learning research. PyTorch is designed to be a flexible and user-friendly platform for building and training machine learning models, particularly in the areas of computer vision, natural language processing, and speech recognition. At its core, PyTorch is built around the concept of tensors, which are multi-dimensional arrays that can be used to represent both data and models. These tensors are the basic building blocks of PyTorch, and all computations in PyTorch are performed using tensors. One of the key features of PyTorch is its dynamic computational graph, which allows for efficient computation and easy debugging. This means that PyTorch models can be defined and modified on the fly during training, allowing for greater flexibility and experimentation. The book covers the following: 1 Introduction to PyTorchWhat is PyTorch?Why use PyTorch?Overview of PyTorch features 2 Getting Started with PyTorchInstalling PyTorchPyTorch basics: Tensors, operations, and variablesBuilding your first PyTorch model 3 Data Preparation with PyTorchData loading and preprocessingDataset and DataLoader classesData augmentation 4 Building Machine Learning Models with PyTorchLinear regression with PyTorchLogistic regression with PyTorchNeural networks with PyTorchConvolutional neural networks with PyTorchRecurrent neural networks with PyTorchGenerative models with PyTorch 5 Training and Evaluating PyTorch ModelsLoss functions in PyTorchOptimizers in PyTorchOverfitting and underfittingEvaluation metricsHyperparameter tuning 6 Advanced Topics in PyTorchTransfer learning with PyTorchReinforcement learning with PyTorchNatural language processing with PyTorchTime series analysis with PyTorchDistributed training with PyTorch 7 Deploying PyTorch ModelsExporting PyTorch models for productionServing PyTorch models with Flask and other web frameworksIntegrating PyTorch models into mobile applications 8 Best Practices for PyTorch DevelopmentPyTorch code organizationDebugging PyTorch modelsTesting PyTorch modelsOptimizing PyTorch models for performance 9 PyTorch in the Real World: Case Studies and ApplicationsSuccessful PyTorch implementations in industryChallenges and limitations of using PyTorch in production environmentsBest practices for using PyTorch in production environments 10 Future of PyTorchPyTorch roadmap and upcoming featuresComparison with other machine learning frameworksCommunity and resources for PyTorch users Details ISBN-13 9798393438241 Title Learn all about PyTorch Author Innoware Pjp Format Paperback Year 2023 Pages 124 Publisher Independently Published GE_Item_ID:142227620; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-11-07T01:22:58.000Z

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