Rejoignez-nous pour un voyage dans le monde des livres!
Ajouter ce livre à l'électronique
Grey
Ecrivez un nouveau commentaire Default profile 50px
Grey
Abonnez-vous pour lire le livre complet ou lisez les premières pages gratuitement!
All characters reduced
Deep Learning - cover

Deep Learning

Manish Soni

Maison d'édition: Poorav Publications

  • 0
  • 0
  • 0

Synopsis

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 OffersThis 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.
Disponible depuis: 13/11/2024.
Longueur d'impression: 240 pages.

D'autres livres qui pourraient vous intéresser

  • The Software Developer's Career Handbook - A Guide to Navigating the Unpredictable - cover

    The Software Developer's Career...

    Michael Lopp

    • 0
    • 0
    • 0
    At some point in your career, you'll realize there's more to being a software engineer than dealing with code. Is it time to become a manager? Or join a startup? In this insightful and entertaining book, Michael Lopp recalls his own make-or-break moments with Silicon Valley giants such as Apple, Slack, Pinterest, Palantir, Netscape, and Symantec to help you make better, more mindful career decisions. 
     
     
     
    With more than forty stand-alone stories, Lopp walks through a complete job lifecycle, starting with the interview and ending with the realization that it might be time to move on. You'll learn how to handle baffling circumstances in your job, understand what you want from your career, and discover how to thrive in your workplace. 
     
     
     
    ● Learn how to navigate areas of your job that don't involve writing code 
     
     
     
    ● Identify how the aspects you enjoy will affect your next career steps 
     
     
     
    ● Build and maintain key relationships and interactions within your community 
     
     
     
    ● Make choices that will help you have a deliberate career 
     
     
     
    ● Recognize what's important to your manager and work on things that matter
    Voir livre
  • Maximizing Lead Generation - cover

    Maximizing Lead Generation

    Rosaline Herman

    • 0
    • 0
    • 0
    Maximizing Lead Generation: Discover the Secrets on How to Build a Healthy Mailing List That Can Help Boost Your Business Just in case you have been in this industry for long enough, we are absolutely sure you have already heard a great deal about how the REAL money is in your list. The money lies in the relationship you built with your list. The trust you were able to gain with your list is the key to success. But you will essentially need a strong and long email list and you have to be able to use it properly to make any real profits out of it.This audiobook will teach you all the steps on how to build a successful mailing list. You will learn how to get started to how to build a massive list that will help boost your sales.This audiobook will cover the following topics:- Building your Mailing List- Getting Started- List Building Secrets- Benefits of a healthy mailing list for your business- And many more!Although theoretically, list building may sound pretty simple, in practice the list building process can be quite tricky if you don’t know what you're doing. That’s why you need a reliable guide to walk you through it. To learn more, scroll up and click “add to cart” now!
    Voir livre
  • Let's Clear Things Up - The Truth About Sinus Surgery - cover

    Let's Clear Things Up - The...

    Reuben Setliff

    • 0
    • 0
    • 0
    Learn the facts about sinus surgery and the medical and minimally invasive procedures available to you from a pioneer in otolaryngology. Sinuses. Everybody has them. Nobody likes them. The words “sinus” and “issues” are associated together so often, it’s no wonder that over half a million people receive sinus surgery in the US each year. But for many, the problems with their sinuses still persist well after receiving treatment.  With more than thirty years of experience as a sinus surgeon, Dr. Reuben Setliff wants patients to know as much as possible about their sinuses when facing the potentially life-altering choices of surgery and picking a long-term care routine. His tell-all book, Let’s Clear Things Up, explains the differences between optional and necessary surgery, the benefits of minimally invasive procedures, and natural ways to correct sinus problems all on our own. Get informed so that when you walk into a clinic, the air between you and your doctor is clear enough to get you breathing right the first time.
    Voir livre
  • Content Creation & Marketing Essentials : 4 Book in 1 - A Comprehensive Guide for Creating Content That Hooks and Sells Make Money as a Video Influencer - cover

    Content Creation & Marketing...

    Brian Scott Fitzgerald, Blake...

    • 0
    • 0
    • 0
    Start your digital marketing journey with this 4-in-1 comprehensive guide to mastering content creation and marketing. This bundle provides the essential hacks and secrets to establishing a successful online presence, from understanding YouTube algorithms to optimizing website rankings and driving organic traffic. With this guide, you will learn to create engaging content that hooks and sells, make money as a video influencer, use hashtags effectively to build an influential Instagram presence and leverage the unique features of TikTok and Twitch to monetize content. Get ready to become a digital influencer with this unique bundle - buy before the price changes! 
      
    Benefits of this book: 
    - Learn the essential hacks and secrets to creating engaging content and monetizing your digital influence 
    - Become an expert in SEO, YouTube, Instagram, TikTok, and Twitch 
    - Follow step-by-step guides to hook and sell to audiences 
    - Transform your life by mastering digital marketing 
      
    What's included in the book: 
    - YouTube Secrets Hacks for Beginners 
    - Search Engine Optimization For Beginners 
    - Instagram Marketing for Beginners 
    - TikTok & Twitch for Beginners
    Voir livre
  • Fenbendazole & Ivermectin Protocols - A Practical Guide for Cancer Patients and Caregivers: Updated Research Real-World Patterns and Clear Action Steps - cover

    Fenbendazole & Ivermectin...

    Daniel K. Harper, Rebecca J. Carter

    • 0
    • 0
    • 0
    Everything changes after a cancer diagnosis. Even clear conversations with doctors can leave patients, caregivers, and families with a quiet, persistent question: 
    Is there anything else we should be looking at? 
    That is where the late-night searching begins: endless tabs, online forums, remission stories, half-explained protocols, strong claims, and serious cautions. 
    Fenbendazole and ivermectin appear, often mixed with hope, confusion, and uncertainty. For many, the challenge is no longer finding more information. It is making sense of what they have already found. 
    What You’ll Get:Evidence in Plain English: What current research suggests, what it can’t prove, what remains uncertain, and how to interpret new information.The Joe Tippens Story in Context: Why it spread, why it matters, and how it fits with the evidence.Protocol Patterns Explained: Commonly discussed approaches and combination use, presented in a neutral reference format.Safety Checkpoints: Side effects, interaction risks, contraindications, monitoring considerations, warning signs, and common mistake patterns.Quality & Sourcing Guidance: Product quality, sourcing risks, and common pitfalls.Doctor Conversation Tools: Prompts, scripts, and questions to help you communicate clearly and use limited appointment time well.Treatment Integration Insights: How these drugs are sometimes discussed alongside other cancer-care approaches.Grounded Planning: Cost, access, timing, and practical decision-making considerations.Tables, Summaries & Key Takeaways: Designed for easier understanding and review.Bonus Chapter: Other repurposed drug candidates being explored in oncology research. 
    This is not a promise of a cure. It is not a shortcut around your care team. It is a serious, readable handbook designed to bring structure to one of the most confusing conversations in contemporary cancer care. 
    When everything feels uncertain, understanding is a powerful place to begin.
    Voir livre
  • Hands-on ML Projects with OpenCV - cover

    Hands-on ML Projects with OpenCV

    Mugesh S.

    • 0
    • 0
    • 0
    Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. 
    
    KEY FEATURES 
    - Step-by-step instructions and code snippets for real world ML projects. 
    - Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization
    - Loaded with practical tips and best practices for implementing machine learning with OpenCV for optimising your workflow. 
    
    DESCRIPTION
    This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. 
    
    Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. 
    
    By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. 
    
    Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python. 
    
    WHAT WILL YOU LEARN 
    - Learn how to work with images and perform basic image processing tasks using OpenCV. 
    - Implement machine learning techniques to computer vision tasks such as image classification, object detection, and image segmentation. 
    - Work on real-world projects and datasets to gain hands-on experience in applying machine learning techniques with OpenCV. 
    - Explore the concepts of deep learning using Tensorflow and Keras and how it can be used for computer vision tasks. 
    - Understand the concept of transfer learning and how pre-trained models can be leveraged for new tasks. 
    - Utilize techniques for model optimization and deployment in resource-constrained environments. 
    - Implement end-to-end solutions and address challenges encountered in practical scenarios. 
    
    WHO IS THIS BOOK FOR?
    This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python. Whether you're a student, researcher, or developer, this book will equip you with practical skills for machine learning projects. Some familiarity with Python and machine learning concepts is assumed. Beginners too will find this book valuable as it offers clear examples and explanations for every concept. 
    
    TABLE OF CONTENTS 
    Chapter 1: Getting Started With OpenCV 
    Chapter 2: Basic Image & Video Analytics in OpenCV
    Chapter 3: Image Processing 1 using OpenCV
    Chapter 4: Image Processing 2 using OpenCV
    Chapter 5: Thresholding and Contour Techniques Using OpenCV 
    Chapter 6: Detect Corners and Road Lane using OpenCV
    Chapter 7: Object And Motion Detection Using Opencv
    Chapter 8: Image Segmentation and Detecting Faces Using OpenCV
    Chapter 9: Introduction to Deep Learning with OpenCV
    Chapter 10: Advance Deep Learning Projects with OpenCV
    Chapter 11: Deployment of OpenCV projects
    Voir livre