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 Computer Vision With Pytorch 2 0
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Author : M. Arshad Siddiqui
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-01-17
Mastering Computer Vision With Pytorch 2 0 written by M. Arshad Siddiqui and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-17 with Computers categories.
TAGLINE 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. DESCRIPTION In 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 WILL YOU 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. WHO IS THIS BOOK FOR? This book is tailored for students, professionals, researchers, and AI enthusiasts keen to explore Computer Vision with PyTorch 2.0. A basic understanding of Python and machine learning concepts is required. Familiarity with neural networks will enhance the learning experience. TABLE OF CONTENTS 1. Diving into PyTorch 2.0 2. PyTorch Basics 3. Transitioning from PyTorch 1.x to PyTorch 2.0 4. Venturing into Artificial Neural Networks 5. Diving Deep into Convolutional Neural Networks (CNNs) 6. Data Augmentation and Preprocessing for Vision Tasks 7. Exploring Transfer Learning with PyTorch 8. Advanced Image Classification Models 9. Object Detection Models 10. Tips and Tricks to Improve Model Performance 11. Efficient Training with PyTorch Lightning 12. Model Deployment and Production-Ready Considerations Index
Deep Learning With Pytorch
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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2024-12-17
Deep Learning With Pytorch written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Business & Economics categories.
DEEP LEARNING WITH PYTORCH: Master the Construction of Modern Neural Networks with Practicality and Efficiency – 2024 Edition, a comprehensive guide to elevate your artificial intelligence skills. Written by Diego Rodrigues, an international author with over 180 titles published in six languages, this book bridges the gap between theory and practice for creating innovative solutions with PyTorch, one of the most advanced deep learning libraries in the world. Whether you are a beginner or an experienced professional, this book provides a structured approach, from basics to advanced techniques, to apply Deep Learning efficiently and robustly. From tensor manipulation to the development of CNNs, RNNs, and Transformer architectures, you will find practical exercises and real-world applications that will help you solve modern-day problems. You will learn to: Build custom neural networks and implement them with PyTorch. Use advanced features such as distributed processing and GPU acceleration. Apply Deep Learning to computer vision, NLP, and other critical areas. Adopt best practices for data preprocessing, model validation, and optimization. The content includes applied case studies and practical examples optimized for cloud platforms like AWS and Google Cloud, offering a holistic view of implementing solutions with PyTorch. If you are ready to transform ideas into technological innovations, DEEP LEARNING WITH PYTORCH is the ultimate resource to shape the future with artificial intelligence. TAGS: Python Java Linux Kali HTML ASP.NET Ada Assembly BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Regression Logistic Regression Decision Trees Random Forests AI ML K-Means Clustering Support Vector Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF AWS Google Cloud IBM Azure Databricks Nvidia Meta Power BI IoT CI/CD Hadoop Spark Dask SQLAlchemy Web Scraping MySQL Big Data Science OpenAI ChatGPT Handler RunOnUiThread() Qiskit Q# Cassandra Bigtable VIRUS MALWARE Information Pen Test Cybersecurity Linux Distributions Ethical Hacking Vulnerability Analysis System Exploration Wireless Attacks Web Application Security Malware Analysis Social Engineering Social Engineering Toolkit SET Computer Science IT Professionals Careers Expertise Library Training Operating Systems Security Testing Penetration Test Cycle Mobile Techniques Industry Global Trends Tools Framework Network Security Courses Tutorials Challenges Landscape Cloud Threats Compliance Research Technology Flutter Ionic Web Views Capacitor APIs REST GraphQL Firebase Redux Provider Bitrise Actions Material Design Cupertino Fastlane Appium Selenium Jest Visual Studio AR VR
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.
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
Mastering Neural Network Computer Vision With Tensorflow And Keras
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Author : Jean Anoma
language : en
Publisher: BPB Publications
Release Date : 2025-01-06
Mastering Neural Network Computer Vision With Tensorflow And Keras written by Jean Anoma and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Computers categories.
DESCRIPTION Mastering Neural Network Computer Vision with TensorFlow and Keras provides a comprehensive guide to using TensorFlow and Keras for computer vision applications. The book enables readers to develop and exercise the skills needed to use sophisticated pre-trained computer vision models, build simple and more advanced neural network models, and optimize their performance. The different chapters of the book cover a comprehensive range of topics in computer vision and deep learning. The first chapter provides a theoretical introduction to computer vision and deep learning, and the second one provides an overview of TensorFlow and its capabilities. The subsequent chapters cover specific applications of neural networks in computer vision, such as image classification, image segmentation, and object detection, and how to tap into the power of transfer learning and pre-trained models to address those use cases. Finally, the remaining chapters cover how to design your own neural network, gather a proper dataset and train your model efficiently. They also cover image generation and ethical considerations around computer vision. By the end of this book, readers will have a strong understanding of the principles of deep learning and computer vision, as well as the skills needed to build advanced neural network models using TensorFlow. KEY FEATURES ● Master computer vision fundamentals through hands-on implementation with Tensorflow, from basics to advanced applications. ● Learn real-world techniques for preparing data, training models, and deploying computer vision solutions at scale. ● Explore state-of-the-art techniques, including transfer learning, generative models, and advanced vision tasks through practical projects. WHAT YOU WILL LEARN ● Understand essential deep learning concepts and architectures specifically designed for modern computer vision applications. ● Build practical expertise with Tensorflow and Keras while implementing pre-trained models for vision tasks. ● Learn to fine-tune existing models and design new architectures for specific vision challenges. ● Master techniques to improve model efficiency, training speed, and overall performance in real applications. ● They will know how diffusion-based models work and how to use some of the most popular ones, like DALL-E or Stable Diffusion. WHO THIS BOOK IS FOR This book is for current or aspiring deep tech professionals, students, and anyone who wishes to understand the rewarding field of computer vision. More specifically, it will also have a great impact on computer vision engineers, robotics, image processing, and video processing engineers who are willing to learn how to use neural networks to boost their performance and results. TABLE OF CONTENTS 1. Introduction to Neural Networks and Deep Learning 2. Introduction to TensorFlow and Keras 3. Presentation of Some Computer Vision Tasks and Related Dataset Structure 4. The Secret to a Great Model: A Great Dataset 5. Transfer Learning with TensorFlow and Keras 6. Segmentation with Neural Networks 7. Object Detection with Neural Networks 8. Using Pre-trained Models for Text Detection and Recognition 9. Using Pre-trained Models for Image Enhancement 10. Building Your Own Model with Keras 11. Training Your Own Model with Keras 12. Explainability of Results 13. Generative Models 14. Conclusion and Future Directions
Mastering Machine Learning A Friendly Guide To Understanding How Ai Learns
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Author : Dizzy Davidson
language : en
Publisher: Pure Water Books
Release Date : 2025-08-05
Mastering Machine Learning A Friendly Guide To Understanding How Ai Learns written by Dizzy Davidson and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-05 with Mathematics categories.
If you've ever wondered how Netflix always knows what you want to watch… If you've felt overwhelmed by the buzz around artificial intelligence but wished someone would just explain it simply… If you're a student, professional, or curious mind looking to use AI without needing a tech degree… This book is for you. Demystifying the Smart Tech Behind Chatbots, Face Recognition, and Predictive Magic—For Curious Minds of All Ages Mastering Machine Learning: A Friendly Guide to Understanding How AI Learns is your god-sent crash course into the invisible power behind the tech we use every day. It’s not just a book—it’s your personal guide to unlocking smart solutions for everyday problems. Packed with: ✅ Tips & Tricks anyone can use, with step-by-step guides for building your own smart tools ✅ Real-life stories of how machine learning has transformed homes, classrooms, and businesses ✅ Eye-popping illustrations & relatable analogies that make complex ideas surprisingly easy ✅ DIY projects & cheat sheets for hands-on learning—even if you’re tech-shy ✅ Ethical insights to help you use AI responsibly and wisely ✅ Bonus content on how sci-fi inspired today’s smart tech Whether you're a curious teen, a creative entrepreneur, or a life-long learner, this book is your backstage pass into the world of learning machines—and how they can help you learn, grow, and thrive. GET YOUR COPY TODAY! 🚀
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