Mastering Deep Learning With Pytorch A Practical Guide
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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!
Hands On Python And Pytorch
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Author : Sarful Hassan
language : en
Publisher: Independently Published
Release Date : 2025-02-04
Hands On Python And Pytorch written by Sarful Hassan and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-04 with Computers categories.
Hands-On Python and PyTorch: A Practical Guide to Deep Learning Master Deep Learning with Python and PyTorch Are you ready to dive into the world of deep learning and AI? Hands-On Python and PyTorch: A Practical Guide to Deep Learning is your step-by-step companion to mastering neural networks, machine learning models, and real-world AI applications with Python and PyTorch. Why This Book? ✅ Comprehensive & Hands-On - Covers everything from basic PyTorch operations to advanced deep learning techniques. ✅ Real-World Applications - Learn to build image classifiers, NLP models, GANs, and reinforcement learning systems. ✅ AI & Deep Learning Integration - Understand how PyTorch works with TensorFlow, OpenCV, and other AI frameworks. ✅ Optimized for Python - Uses Python 3.x for efficient and scalable implementation. ✅ Beginner to Expert Guide - Suitable for students, developers, data scientists, and AI enthusiasts looking to master PyTorch and deep learning. What You'll Learn ✔️ Setting up PyTorch and Python for deep learning projects ✔️ Core PyTorch concepts: Tensors, Autograd, and Modules ✔️ Building and training neural networks from scratch ✔️ Advanced optimization techniques and model tuning ✔️ Real-time applications in computer vision, NLP, and reinforcement learning ✔️ Deploying AI models efficiently for production Who Should Read This Book?
Mastering Deep Learning With Fastai Pytorch
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Author : Khushabu Gupta
language : en
Publisher: Subrat Gupta
Release Date : 2025-10-19
Mastering Deep Learning With Fastai Pytorch written by Khushabu Gupta and has been published by Subrat Gupta this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-19 with Computers categories.
Unlock the transformative power of artificial intelligence with "Mastering Deep Learning with fastai & PyTorch in Python." Designed for coders and tech enthusiasts, this hands-on guide takes you step-by-step through the essential concepts and practical applications of deep learning. Using the popular fastai library alongside PyTorch, you’ll learn how to build, train, and deploy neural networks with real-world datasets, empowering you to solve complex problems in computer vision, natural language processing, and more. With clear explanations, in-depth tutorials, and expert tips, this book bridges theory and application, making advanced AI tools accessible for every programmer. Whether you're new to deep learning or seeking to enhance your skillset, this resource equips you to master cutting-edge techniques, optimize models, and implement robust solutions using Python, fastai, and PyTorch. Transform your career and stay ahead in the fast-evolving fields of machine learning and artificial intelligence with this definitive guide.
Pytorch
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Author : Kits for Life
language : en
Publisher: Independently Published
Release Date : 2025-02-14
Pytorch written by Kits for Life and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Computers categories.
Mastering PyTorch: A Practical Guide to AI & Deep Learning
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.
Deep Learning With Pytorch
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Author : Thompson Carter
language : en
Publisher: Independently Published
Release Date : 2024-11-07
Deep Learning With Pytorch 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 2024-11-07 with Computers categories.
Dive into the world of AI with Deep Learning with PyTorch! This book is a hands-on guide to mastering neural networks and artificial intelligence using PyTorch, the popular and powerful deep learning framework. Written by AI expert Thompson Carter, this book breaks down complex concepts with real-world projects, covering essential topics like model building, optimization, transfer learning, and neural network architectures. Whether you're a beginner or an experienced developer, this book provides step-by-step guidance on creating scalable, high-performance models that power today's AI-driven applications. Explore the future of technology, learn to tackle real-world challenges, and join the next generation of AI innovators with this must-have guide to PyTorch.
Deep Learning
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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13
Deep Learning written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
Welcome to "Deep Learning: A Comprehensive Guide," a book meticulously designed to cater to the needs of learners at various stages of their journey into the fascinating world of deep learning. Whether you are a beginner embarking on your first exploration into artificial intelligence or a seasoned professional looking to deepen your expertise, this book aims to be your trusted companion. Deep learning, a subset of machine learning, has revolutionized the field of artificial intelligence, enabling advancements that were once thought to be the stuff of science fiction. From autonomous vehicles to sophisticated natural language processing systems, deep learning has become the backbone of many cutting-edge technologies. Understanding and mastering deep learning is not just a desirable skill but a necessity for anyone looking to thrive in the modern tech landscape. What This Book Offers This book is not just a theoretical exposition but a practical guide designed to provide you with a holistic learning experience. Here's a glimpse of what you can expect: Structured Content: Starts with neural network basics and advances to topics like convolutional, recurrent, and generative adversarial networks. Each chapter builds on the previous, ensuring a comprehensive learning journey. Online Practice Questions: Each chapter includes practice questions from basic to advanced levels to test and reinforce your understanding. Videos: Instructional videos complement the book's content, offering step-by-step explanations and real-life applications. Exercises and Projects: Includes exercises and hands-on projects that simulate real-world problems, providing practical experience. Lab Activities: Features lab activities using frameworks like TensorFlow and PyTorch for hands-on experimentation with deep learning models. Case Studies: Illustrates the application of deep learning in industries such as healthcare, finance, and entertainment, highlighting its transformative potential. Comprehensive Coverage: Covers a broad spectrum of topics, from theoretical foundations to practical implementations, latest advancements, ethical considerations, and future trends. Who Should Use This Book? This book is designed for: Students and Academics: Pursuing studies in computer science, data science, or related fields. Industry Professionals: Enhancing skills or transitioning into roles involving deep learning. Embarking on the journey to master deep learning is both challenging and rewarding. This book is designed to make that journey as smooth and enlightening as possible. We hope that the combination of theoretical knowledge, practical exercises, projects, and real-world applications will equip you with the skills and confidence needed to excel in the field of deep learning.
Deep Learning With Pytorch
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Author : Vishnu Subramanian
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-23
Deep Learning With Pytorch written by Vishnu Subramanian 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 2018-02-23 with Computers categories.
Build neural network models in text, vision and advanced analytics using PyTorch Key Features Learn PyTorch for implementing cutting-edge deep learning algorithms. Train your neural networks for higher speed and flexibility and learn how to implement them in various scenarios; Cover various advanced neural network architecture such as ResNet, Inception, DenseNet and more with practical examples; Book Description Deep learning powers the most intelligent systems in the world, such as Google Voice, Siri, and Alexa. Advancements in powerful hardware, such as GPUs, software frameworks such as PyTorch, Keras, Tensorflow, and CNTK along with the availability of big data have made it easier to implement solutions to problems in the areas of text, vision, and advanced analytics. This book will get you up and running with one of the most cutting-edge deep learning libraries—PyTorch. PyTorch is grabbing the attention of deep learning researchers and data science professionals due to its accessibility, efficiency and being more native to Python way of development. You'll start off by installing PyTorch, then quickly move on to learn various fundamental blocks that power modern deep learning. You will also learn how to use CNN, RNN, LSTM and other networks to solve real-world problems. This book explains the concepts of various state-of-the-art deep learning architectures, such as ResNet, DenseNet, Inception, and Seq2Seq, without diving deep into the math behind them. You will also learn about GPU computing during the course of the book. You will see how to train a model with PyTorch and dive into complex neural networks such as generative networks for producing text and images. By the end of the book, you'll be able to implement deep learning applications in PyTorch with ease. What you will learn Use PyTorch for GPU-accelerated tensor computations Build custom datasets and data loaders for images and test the models using torchvision and torchtext Build an image classifier by implementing CNN architectures using PyTorch Build systems that do text classification and language modeling using RNN, LSTM, and GRU Learn advanced CNN architectures such as ResNet, Inception, Densenet, and learn how to use them for transfer learning Learn how to mix multiple models for a powerful ensemble model Generate new images using GAN’s and generate artistic images using style transfer Who this book is for This book is for machine learning engineers, data analysts, data scientists interested in deep learning and are looking to explore implementing advanced algorithms in PyTorch. Some knowledge of machine learning is helpful but not a mandatory need. Working knowledge of Python programming is expected.
Pytorch For Data Science
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Author : Charles R Graham
language : en
Publisher: Independently Published
Release Date : 2025-08-12
Pytorch For Data Science written by Charles R Graham and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Computers categories.
Are you ready to build powerful artificial intelligence models that solve real-world problems? This practical guide provides the essential knowledge and hands-on skills for deep learning with PyTorch. PyTorch for Data Science offers a clear, practical pathway to mastering deep learning. This book starts with the core components of PyTorch, guiding you through tensor operations, automatic differentiation, and efficient data handling. You'll then progress to constructing and training various neural network architectures, including feedforward networks and Convolutional Neural Networks (CNNs) for image tasks, and Recurrent Neural Networks (RNNs) for sequential data like text. Beyond foundational concepts, this guide explores advanced topics such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) for creating new data, and Graph Neural Networks (GNNs) for complex relational data. Crucially, it emphasizes responsible AI development, covering vital aspects like bias, explainability, privacy, and the importance of human oversight. The book culminates in a comprehensive project: building and deploying a multi-label image classifier, bringing all learned concepts into a practical application. What's inside this Book? Build diverse neural networks: Create models for image, text, and graph data. Master transfer learning: Effectively use pre-trained models for faster, better results.1 Understand generative AI: Learn to build models that create new content. Implement ethical AI practices: Address bias, ensure transparency, and protect data privacy. Deploy AI models: Turn your trained models into accessible web APIs for real-world use. Get Your Copy Today! Start building and deploying intelligent systems with confidence. Purchase PyTorch for Data Science and transform your AI development skills.