Mastering Pytorch
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Mastering Pytorch
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Author : Ashish Ranjan Jha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-31
Mastering Pytorch written by Ashish Ranjan Jha and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Understand how to use PyTorch to build advanced neural network models Get the best from PyTorch by working with Hugging Face, fastai, PyTorch Lightning, PyTorch Geometric, Flask, and Docker Unlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworks Book 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 learn Implement text, vision, and music generation models using PyTorch Build a deep Q-network (DQN) model in PyTorch Deploy PyTorch models on mobile devices (Android and iOS) Become well versed in rapid prototyping using PyTorch with fastai Perform neural architecture search effectively using AutoML Easily interpret machine learning models using Captum Design ResNets, LSTMs, and graph neural networks (GNNs) Create language and vision transformer models using Hugging Face Who this book is for This 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.
Mastering Pytorch
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Author : Ashish Ranjan Jha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-02-12
Mastering Pytorch written by Ashish Ranjan Jha and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-12 with Computers categories.
Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use PyTorch 1.x to build advanced neural network models Learn to perform a wide range of tasks by implementing deep learning algorithms and techniques Gain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much more Book DescriptionDeep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures 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 and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai. By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learn Implement text and music generating models using PyTorch Build a deep Q-network (DQN) model in PyTorch Export universal PyTorch models using Open Neural Network Exchange (ONNX) Become well-versed with rapid prototyping using PyTorch with fast.ai Perform neural architecture search effectively using AutoML Easily interpret machine learning (ML) models written in PyTorch using Captum Design ResNets, LSTMs, Transformers, and more using PyTorch Find out how to use PyTorch for distributed training using the torch.distributed API Who this book is for This book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.
Mastering Pytorch Second Edition
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Author : Ashish Ranjan Jha
language : en
Publisher:
Release Date : 2024-05-31
Mastering Pytorch Second Edition written by Ashish Ranjan Jha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Purchase of the print or Kindle book includes a free eBook in PDF format Key Features: - Understand how to use PyTorch to build advanced neural network models - Get the best from PyTorch by working with Hugging Face, fastai, PyTorch Lightning, PyTorch Geometric, Flask, and Docker - Unlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworks Book Description: PyTorch 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 from 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 for prototyping models to training models using PyTorch Lightning. 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 Learn: - Implement text, vision, and music generating models using PyTorch - Build a deep Q-network (DQN) model in PyTorch - Deploy PyTorch models on mobile devices (Android and iOS) - Become well-versed with rapid prototyping using PyTorch with fast.ai - Perform neural architecture search effectively using AutoML - Easily interpret machine learning models using Captum - Design ResNets, LSTMs, and graph neural networks (GNNs) - Create language and vision transformer models using Hugging Face Who this book is for: This 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.
Mastering Pytorch And Machine Learning
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Author : Ed Norex
language : en
Publisher: Independently Published
Release Date : 2024-02-19
Mastering Pytorch And Machine Learning written by Ed Norex and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Computers categories.
Mastering PyTorch and Machine Learning: Essential Techniques is a comprehensive guide designed to take you on a transformative journey through the world of PyTorch and machine learning. Whether you are a novice eager to dive into the realm of deep learning or an experienced developer aiming to refine your skills, this book serves as your indispensable companion. Dive deep into the fundamentals of PyTorch, exploring its dynamic ecosystem, and unravel the mysteries of tensors, autograd mechanics, and neural network architectures. With detailed discussions on the intricacies of training deep learning models, working with convolutional and recurrent neural networks, and the fascinating world of generative models, this book equips you with the knowledge to tackle modern machine learning challenges. Learn to implement reinforcement learning, manage performance and scalability, and master the art of deploying PyTorch models efficiently. Through practical examples and expert insights, Ed Norex provides the tools and techniques needed to harness the full potential of PyTorch, enabling you to create robust and scalable machine learning models. Mastering PyTorch and Machine Learning: Essential Techniques is more than just a book; it's a gateway to unlocking the future of intelligent applications. Embark on this journey to elevate your skills and become proficient in the art and science of machine learning with PyTorch.
Mastering Pytorch 2 6
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Author : Frances F Thompson
language : en
Publisher: Independently Published
Release Date : 2025-03-13
Mastering Pytorch 2 6 written by Frances F Thompson and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Computers categories.
Harness the Power of PyTorch 2.6 to Build Cutting-Edge AI Models PyTorch has become the go-to framework for deep learning, and with version 2.6, it's more powerful and efficient than ever. Whether you're a data scientist, AI researcher, or developer, this book will guide you through mastering PyTorch's latest features to build, train, and deploy neural networks with confidence. What's Inside? This hands-on guide takes you from the fundamentals of PyTorch to advanced deep-learning techniques, covering everything from building neural networks to deploying scalable AI solutions. You'll learn how to leverage PyTorch 2.6's latest optimizations, including compile mode, improved ONNX export, and enhanced model efficiency. Through real-world projects and step-by-step tutorials, you'll gain the skills to develop state-of-the-art AI models for computer vision, natural language processing, and more. Why Choose This Book? ✅ Comprehensive Coverage - Covers the latest PyTorch 2.6 features, best practices, and deployment strategies. ✅ Hands-on Learning - Includes practical examples, real-world projects, and step-by-step code implementations. ✅ Performance Optimization - Learn how to optimize models for speed, efficiency, and scalability. ✅ Production-Ready AI - Master techniques for deploying AI models with ONNX, TorchServe, and cloud integration. ✅ Expert Insights - Authored by industry professionals with deep learning expertise. Get Started Today! Whether you're building your first neural network or fine-tuning advanced AI models, Mastering PyTorch 2.6 equips you with the skills to take your deep-learning projects to the next level. Grab your copy now and start building intelligent systems with PyTorch!
Mastering Deep Learning With Pytorch
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Author : Wilson Hayes
language : en
Publisher: Independently Published
Release Date : 2025-01-02
Mastering Deep Learning With Pytorch written by Wilson Hayes and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Computers categories.
Ready to dive into the world of artificial intelligence? Mastering Deep Learning with PyTorch: A Practical Guide is the ultimate resource for mastering deep learning using PyTorch, one of the most popular and powerful frameworks for machine learning. Whether you're just starting out or an experienced developer, this book will guide you through the core concepts of deep learning, including building neural networks, working with datasets, and deploying AI models in real-world applications. What You'll Learn: Build Neural Networks: Learn the fundamentals of deep learning and how to implement neural networks in PyTorch. Train AI Models: Gain practical skills in training machine learning models, using optimizers, and fine-tuning performance. Cutting-Edge Techniques: Master advanced topics like CNNs, RNNs, GANs, and reinforcement learning. Efficient Data Handling: Handle large datasets and train models efficiently with distributed computing and mini-batching. Model Deployment: Learn how to deploy your models into production for real-world use cases. What You'll Get: Real-World Applications: From image classification to NLP, this book covers practical projects that reinforce your learning. Hands-On Experience: Apply your knowledge with hands-on examples and projects that you can build and run on your own machine. Advanced Topics: Explore how to apply deep learning to real-world challenges in areas like computer vision, language processing, and AI-driven systems. Why This Book? Comprehensive Approach: We guide you from basic neural network concepts to advanced architectures, all using PyTorch. Perfect for Beginners and Professionals: Whether you're a novice or experienced practitioner, this book offers practical insights and techniques to help you grow. Up-to-Date Information: With the latest updates in PyTorch, you'll have access to cutting-edge tools and methodologies for deep learning. Who Should Read This Book? Beginners eager to learn deep learning and PyTorch. Developers and Data Scientists looking to enhance their skills in machine learning. AI Enthusiasts ready to dive deeper into modern AI applications and techniques. Start Your AI Journey Today! Whether you're aiming to build powerful AI models, explore deep learning concepts, or implement them in real-world applications, Mastering Deep Learning with PyTorch is the practical guide you need to succeed. Get your copy now and start mastering deep learning with PyTorch today!
Mastering Deep Learning With Pytorch A Practical Guide
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Author : Thompson Carter
language : en
Publisher: Independently Published
Release Date : 2024-10-10
Mastering Deep Learning With Pytorch A Practical Guide written by Thompson Carter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-10 with Computers categories.
Step into the future of Artificial Intelligence with Mastering Deep Learning with PyTorch: A Practical Guide. Whether you're an AI enthusiast, data scientist, or software engineer, this book delivers a powerful combination of theory and practical, hands-on examples designed to build advanced neural networks with PyTorch. Starting from the fundamentals of deep learning, you'll explore advanced topics like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. With clear explanations and real-world applications, this guide covers everything from training deep learning models efficiently to deploying them in production environments. Unlock the full potential of PyTorch's dynamic computation graphs and learn to build models that continuously improve. Whether you're working on image recognition, natural language processing, or generative adversarial networks (GANs), this guide equips you with the tools to master deep learning and solve complex AI problems. Don't miss out on the opportunity to elevate your career and transform the way you approach machine learning. Perfect for anyone who wants to stay ahead of the curve in AI development, Mastering Deep Learning with PyTorch offers everything you need to supercharge your AI projects!
Mastering Computer Vision With Pytorch And Machine Learning
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Author : Caide Xiao
language : en
Publisher: IOP Publishing Limited
Release Date : 2024-04-29
Mastering Computer Vision With Pytorch And Machine Learning written by Caide Xiao and has been published by IOP Publishing Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Computers categories.
This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer vision techniques using PyTorch.
Mastering Computer Vision With Pytorch 2 0
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Author : M. Arshad
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-01-17
Mastering Computer Vision With Pytorch 2 0 written by M. Arshad and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-17 with Computers categories.
Unleashing the Power of Computer Vision with PyTorch 2.0. Key Features● Covers core to advanced Computer Vision topics with PyTorch 2.0's latest features and best practices.● Progressive learning path to ensure suitability for beginners and experts alike.● Tackles practical tasks like optimization, transfer learning, and edge deployment. Book DescriptionIn an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions. [Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges. Starting with PyTorch’s evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on edge devices, and making models production-ready. Explore cutting-edge applications, from object detection models like YOLO and Faster R-CNN to image classification architectures like ResNet and Inception. By the end, readers will be confident in implementing scalable AI solutions, staying ahead in this rapidly evolving field. Whether you're a student, AI enthusiast, or professional, this book empowers you to harness the power of PyTorch 2.0 for Computer Vision. What you will learn● Build and train neural networks using PyTorch 2.0.● Implement advanced image classification and object detection models.● Optimize models through augmentation, transfer learning, and fine-tuning.● Deploy scalable AI solutions in production and on edge devices.● Master PyTorch Lightning for efficient training workflows.● Apply real-world techniques for preprocessing, quantization, and deployment. Table of Contents1. Diving into PyTorch 2.02. PyTorch Basics3. Transitioning from PyTorch 1.x to PyTorch 2.04. Venturing into Artificial Neural Networks5. Diving Deep into Convolutional Neural Networks (CNNs)6. Data Augmentation and Preprocessing for Vision Tasks7. Exploring Transfer Learning with PyTorch8. Advanced Image Classification Models9. Object Detection Models10. Tips and Tricks to Improve Model Performance11. Efficient Training with PyTorch Lightning12. Model Deployment and Production-Ready Considerations.
Learn Pytorch
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Author : Diego Rodrigues
language : en
Publisher: StudioD21
Release Date : 2024-12-10
Learn Pytorch written by Diego Rodrigues and has been published by StudioD21 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Business & Economics categories.
This book is ideal for developers and students who want to build deep learning models with PyTorch, combining flexibility, control, and real-world performance. You will learn to apply modern techniques to design, train, and scale robust neural networks in real-world environments, covering everything from fundamentals to advanced architectures. Includes: • Tensor manipulation and Autograd usage • Modular neural network construction with torch.nn • Training with DataLoader, optimizers, and loss functions • Practical application with CNNs, RNNs, Transformers, and GANs • Integration with PyTorch Lightning, TorchScript, and model export • Real-world projects with NLP, computer vision, IoT, and cloud deployment By the end, you will master PyTorch as a professional tool to design scalable AI solutions with technical precision and development agility. pytorch, deep learning, neural networks, torch.nn, autograd, distributed training, cnn, rnn, transformers, deployment