Tensorflow Mastery
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Tensorflow Mastery
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Author : Husn Ara
language : en
Publisher: Independently Published
Release Date : 2024-02-27
Tensorflow Mastery written by Husn Ara and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Technology & Engineering categories.
Preface Welcome to "TensorFlow Mastery: A Comprehensive Guide with 10+ Real-World Projects." In the fast-evolving world of machine learning and artificial intelligence, TensorFlow stands as a powerhouse for building and deploying intelligent systems. This ebook is crafted to guide you through the intricacies of TensorFlow, providing a comprehensive understanding of its capabilities while empowering you with practical skills through a series of hands-on projects. Why TensorFlow Mastery? As technology advances, so does the need for mastery in cutting-edge tools. TensorFlow, developed by the Google Brain team, has become a cornerstone in the field of deep learning. This ebook is designed to help you master TensorFlow's capabilities and harness its potential for solving real-world problems. What to Expect This ebook is not just another theoretical guide but a journey into practical implementation. Here's what you can expect: Foundations of TensorFlow: We'll start with the basics, ensuring you have a solid understanding of TensorFlow's core concepts. Advanced Techniques: Dive into advanced techniques such as neural network architectures, transfer learning, and optimization strategies. Real-World Projects: Learn by doing. We'll explore over 10 hands-on projects that span various domains, giving you a taste of how TensorFlow can be applied in real-world scenarios. Problem Solving: Each project is carefully crafted to address specific challenges, enhancing your problem-solving skills and building a solid foundation for your machine learning journey. Practical Tips: Throughout the ebook, you'll find practical tips, best practices, and code snippets that will help you navigate the complexities of TensorFlow effectively. Who Is This Ebook For? Whether you're a beginner stepping into the world of machine learning or an experienced practitioner looking to deepen your understanding of TensorFlow, this ebook caters to a broad audience. If you aspire to build intelligent systems, analyze data, or work on cutting-edge projects, TensorFlow Mastery is your companion on this exciting journey. Let's Get Started Embark on this journey with enthusiasm and curiosity. Each chapter and project is designed to incrementally elevate your skills. By the end of this ebook, you'll not only have mastered TensorFlow but will also be well-equipped to tackle real-world challenges with confidence. Enjoy your TensorFlow Mastery journey! Happy Coding! Husn Ara
Mastering Tensorflow 1 X
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Author : Armando Fandango
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-22
Mastering Tensorflow 1 X written by Armando Fandango 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 2018-01-22 with Computers categories.
Build, scale, and deploy deep neural network models using the star libraries in Python Key Features Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras Build, deploy, and scale end-to-end deep neural network models in a production environment Learn to deploy TensorFlow on mobile, and distributed TensorFlow on GPU, Clusters, and Kubernetes Book Description TensorFlow is the most popular numerical computation library built from the ground up for distributed, cloud, and mobile environments. TensorFlow represents the data as tensors and the computation as graphs. This book is a comprehensive guide that lets you explore the advanced features of TensorFlow 1.x. Gain insight into TensorFlow Core, Keras, TF Estimators, TFLearn, TF Slim, Pretty Tensor, and Sonnet. Leverage the power of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Throughout the book, you will obtain hands-on experience with varied datasets, such as MNIST, CIFAR-10, PTB, text8, and COCO-Images. You will learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF Clusters, deploy production models with TensorFlow Serving, and build and deploy TensorFlow models for mobile and embedded devices on Android and iOS platforms. You will see how to call TensorFlow and Keras API within the R statistical software, and learn the required techniques for debugging when the TensorFlow API-based code does not work as expected. The book helps you obtain in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems. By the end of this guide, you will have mastered the offerings of TensorFlow and Keras, and gained the skills you need to build smarter, faster, and efficient machine learning and deep learning systems. What you will learn Master advanced concepts of deep learning such as transfer learning, reinforcement learning, generative models and more, using TensorFlow and Keras Perform supervised (classification and regression) and unsupervised (clustering) learning to solve machine learning tasks Build end-to-end deep learning (CNN, RNN, and Autoencoders) models with TensorFlow Scale and deploy production models with distributed and high-performance computing on GPU and clusters Build TensorFlow models to work with multilayer perceptrons using Keras, TFLearn, and R Learn the functionalities of smart apps by building and deploying TensorFlow models on iOS and Android devices Supercharge TensorFlow with distributed training and deployment on Kubernetes and TensorFlow Clusters Who this book is for This book is for data scientists, machine learning engineers, artificial intelligence engineers, and for all TensorFlow users who wish to upgrade their TensorFlow knowledge and work on various machine learning and deep learning problems. If you are looking for an easy-to-follow guide that underlines the intricacies and complex use cases of machine learning, you will find this book extremely useful. Some basic understanding of TensorFlow is required to get the most out of the book.
Mastering Python
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Author : Rick van Hattem
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-05-20
Mastering Python written by Rick van Hattem 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 2022-05-20 with Computers categories.
Use advanced features of Python to write high-quality, readable code and packages Key Features Extensively updated for Python 3.10 with new chapters on design patterns, scientific programming, machine learning, and interactive Python Shape your scripts using key concepts like concurrency, performance optimization, asyncio, and multiprocessing Learn how advanced Python features fit together to produce maintainable code Book Description Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python's capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code's performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges What you will learn Write beautiful Pythonic code and avoid common Python coding mistakes Apply the power of decorators, generators, coroutines, and metaclasses Use different testing systems like pytest, unittest, and doctest Track and optimize application performance for both memory and CPU usage Debug your applications with PDB, Werkzeug, and faulthandler Improve your performance through asyncio, multiprocessing, and distributed computing Explore popular libraries like Dask, NumPy, SciPy, pandas, TensorFlow, and scikit-learn Extend Python's capabilities with C/C++ libraries and system calls Who this book is for This book will benefit more experienced Python programmers who wish to upskill, serving as a reference for best practices and some of the more intricate Python techniques. Even if you have been using Python for years, chances are that you haven't yet encountered every topic discussed in this book. A good understanding of Python programming is necessary
Mastering Go
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Author : Mihalis Tsoukalos
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-08-29
Mastering Go written by Mihalis Tsoukalos 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 2019-08-29 with Computers categories.
Publisher's Note: This edition from 2019 is outdated and is not compatible with the latest version of Go. A new third edition, updated for 2021 and featuring the latest in Go programming, has now been published. Key Features • Second edition of the bestselling guide to advanced Go programming, expanded to cover machine learning, more Go packages and a range of modern development techniques • Completes the Go developer’s education with real-world guides to building high-performance production systems • Packed with practical examples and patterns to apply to your own development work • Clearly explains Go nuances and features to remove the frustration from Go development Book Description Often referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition. Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go’s capabilities and apply them in your programming work. The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge. This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection. Other chapters are expanded to cover using Go with Docker and Kubernetes, Git, WebAssembly, JSON, and more. If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques. What you will learn • Clear guidance on using Go for production systems • Detailed explanations of how Go internals work, the design choices behind the language, and how to optimize your Go code • A full guide to all Go data types, composite types, and data structures • Master packages, reflection, and interfaces for effective Go programming • Build high-performance systems networking code, including server and client-side applications • Interface with other systems using WebAssembly, JSON, and gRPC • Write reliable, high-performance concurrent code • Build machine learning systems in Go, from simple statistical regression to complex neural networks Who this book is for Mastering Go, Second Edition is for Go programmers who already know the language basics, and want to become expert Go practitioners. Table of Contents • Go and the Operating System • Understanding Go Internals • Working with Basic Go Data Types • The Uses of Composite Types • How to Enhance Go Code with Data Structures • What You Might Not Know About Go Packages and functions • Reflection and Interfaces for All Seasons • Telling a Unix System What to Do • Concurrency in Go: Goroutines, Channels, and Pipelines • Concurrency in Go: Advanced Topics • Code Testing, Optimization, and Profiling • The Foundations of Network Programming in Go • Network Programming: Building Your Own Servers and Clients • Machine Learning in Go Review "Mastering Go - Second Edition is a must-read for developers wanting to expand their knowledge of the language or wanting to pick it up from scratch" -- Alex Ellis - Founder of OpenFaaS Ltd, CNCF Ambassador
Mastering Your Prompt Engineering Super Power
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Author : Diana Ashcroft
language : en
Publisher: Athena Publishing
Release Date :
Mastering Your Prompt Engineering Super Power written by Diana Ashcroft and has been published by Athena Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In a world driven by data and powered by artificial intelligence, there's a superpower that's changing the game: Prompt Engineering. Join Diana Ashcroft, a seasoned data scientist and educator, on a journey through the dynamic landscape of prompt engineering in her latest book, Mastering Your Prompt Engineering Super Power. Prompt engineering is the key to unlocking the full potential of AI. In Mastering Your Prompt Engineering Super Power, Diana Ashcroft delves into the heart of this transformative field and reveals its immense significance. You'll discover how prompt engineering is reshaping industries, powering innovation, and shaping the future of society. Whether you're a seasoned AI professional or just starting your journey, Mastering Your Prompt Engineering Super Power is your guide to mastering prompt engineering. Diana takes complex concepts and distills them into practical, down-to-earth knowledge that anyone can grasp. You'll explore the realms of Natural Language Processing (NLP), Computer Vision, and more, gaining the skills needed to harness prompt engineering's incredible potential. Prompt engineering isn't just a buzzword; it's a force that's driving change in every sector. Diana provides real-world examples of how prompt engineering is making waves in industries like healthcare, finance, e-commerce, and beyond. You'll see how AI-powered prompts are enhancing productivity, improving customer experiences, and even revolutionizing education. Mastering Your Prompt Engineering Super Power isn't just a book; it's your passport to becoming a prompt engineering master. Diana guides you through hands-on techniques, tools, and frameworks used by professionals in the field. You'll learn to wield the power of AI-driven prompts to tackle complex tasks, from data preprocessing to model optimization. As we stand on the precipice of a new era, Diana Ashcroft illuminates the path forward. Discover how prompt engineering is shaping the future, from enabling smarter virtual assistants to aiding legal professionals in document analysis. The possibilities are endless, and Mastering Your Prompt Engineering Super Power equips you to seize them.
Mastering Google Cloud Platform
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-06
Mastering Google Cloud Platform written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-06 with Computers categories.
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Mastering Opencv 4 With Python
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Author : Alberto Fernández Villán
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-03-29
Mastering Opencv 4 With Python written by Alberto Fernández Villán 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 2019-03-29 with Computers categories.
Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. Key FeaturesDevelop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and PythonApply machine learning and deep learning techniques with TensorFlow and KerasDiscover the modern design patterns you should avoid when developing efficient computer vision applicationsBook Description OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands. What you will learnHandle files and images, and explore various image processing techniquesExplore image transformations, including translation, resizing, and croppingGain insights into building histogramsBrush up on contour detection, filtering, and drawingWork with Augmented Reality to build marker-based and markerless applicationsWork with the main machine learning algorithms in OpenCVExplore the deep learning Python libraries and OpenCV deep learning capabilitiesCreate computer vision and deep learning web applicationsWho this book is for This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.
Ultimate Deepfake Detection Using Python Master Deep Learning Techniques Like Cnns Gans And Transformers To Detect Deepfakes In Images Audio And Videos Using Python
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Author : Dr. Nimrita
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-09-21
Ultimate Deepfake Detection Using Python Master Deep Learning Techniques Like Cnns Gans And Transformers To Detect Deepfakes In Images Audio And Videos Using Python written by Dr. Nimrita 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 2024-09-21 with Computers categories.
Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection. Key Features● Comprehensive and graded approach to Deepfake detection using Python and its libraries. ● Practical implementation of deepfake detection techniques using Python. ● Hands-on chapters for detecting deepfake images, videos, and audio. ● Covers Case study for providing real-world application of deepfake detection. Book DescriptionIn today's digital world, mastering deepfake detection is crucial, with deepfake content increasing by 900% since 2019 and 96% used for malicious purposes like fraud and disinformation. "Ultimate Deepfake Detection with Python" equips you with the skills to combat this threat using Python’s AI libraries, offering practical tools to protect digital security across images, videos, and audio. This book explores generative AI and deepfakes, giving readers a clear understanding of how these technologies work and the challenges of detecting them. With practical Python code examples, it provides the tools necessary for effective deepfake detection across media types like images, videos, and audio. Each chapter covers vital topics, from setting up Python environments to using key datasets and advanced deep learning techniques. Perfect for researchers, developers, and cybersecurity professionals, this book enhances technical skills and deepens awareness of the ethical issues around deepfakes. Whether building new detection systems or improving current ones, this book offers expert strategies to stay ahead in digital media security. What you will learn ● Understand the fundamentals of generative AI and deepfake technology and the potential risks they pose. ● Explore the various methods and techniques used to identify deepfakes, as well as the obstacles faced in this field. ● Learn to use essential datasets and label image, video, and audio data for building deepfake detection models ● Apply advanced machine learning models like CNNs, RNNs, GANs, and Transformers for deepfake detection ● Master active and passive methods for detecting face manipulation and build CNN-based image detection systems ● Detect manipulations in videos, develop a detection system, and evaluate its performance using key metrics ● Build and implement a practical deepfake detection system to understand how these techniques are applied in real-world scenarios. Table of Contents1. Introduction to Generative AI and Deepfake Technology 2. Deepfake Detection Principles and Challenges 3. Ethical Considerations with the Use of Deepfakes 4. Setting Up your Machine for Deepfake Detection using Python 5. Deepfake Datasets 6. Techniques for Deepfake Detection 7. Detection of Deepfake Images 8. Detection of Deepfake Video 9. Detection of Deepfake Audio 10. Case Study in Deepfake Detection Index
Mastering Python
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Author : Dr. Yudhvir Singh, Dr. Nisha
language : en
Publisher: The Readers Paradise
Release Date :
Mastering Python written by Dr. Yudhvir Singh, Dr. Nisha and has been published by The Readers Paradise this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Even experienced Python programmers often write code that works, but isn’t as maintainable, efficient, or reusable as it could be. Mastering Python is an advanced‐level guide that helps bridge that gap. It goes beyond the basics to show how to use Python in a more “Pythonic” way, employing newer features and best practices so your code is cleaner, faster, and more robus - Writing “Pythonic” code — adopting style, idioms, and syntax that are considered best practice in modern Python development. - Functional programming features: decorators, generators, coroutines, metaclasses. - Performance optimization: efficient use of CPU and memory, profiling, concurrency (asyncio, multiprocessing) - Testing & debugging: using pytest, unittest, doctest, debugging tools like PDB etc. - Extending Python: calling C/C++ code, accessing lower‑level system features. - Scientific / Data‑Science tools: use of NumPy, SciPy, pandas, TensorFlow, etc. Barnes & Noble+2Amazon+2 - Packaging and distributing code; making sizable projects maintainable and shareable.
Deep Learning And Ai Superhero
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Author : Cuantum Technologies LLC
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-01-20
Deep Learning And Ai Superhero written by Cuantum Technologies LLC 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 2025-01-20 with Computers categories.
Master TensorFlow, Keras, and PyTorch for deep learning in AI applications. Learn neural networks, CNNs, RNNs, LSTMs, and GANs through hands-on exercises and real-world projects. Key Features TensorFlow, Keras, and PyTorch for diverse deep learning frameworks Neural network concepts with real-world industry relevance Cloud and edge AI deployment techniques for scalable solutions Book DescriptionDive into the world of deep learning with this comprehensive guide that bridges theory and practice. From foundational neural networks to advanced architectures like CNNs, RNNs, and Transformers, this book equips you with the tools to build, train, and optimize AI models using TensorFlow, Keras, and PyTorch. Clear explanations of key concepts such as gradient descent, loss functions, and backpropagation are combined with hands-on exercises to ensure practical understanding. Explore cutting-edge AI frameworks, including generative adversarial networks (GANs) and autoencoders, while mastering real-world applications like image classification, text generation, and natural language processing. Detailed chapters cover transfer learning, fine-tuning pretrained models, and deployment strategies for cloud and edge computing. Practical exercises and projects further solidify your skills as you implement AI solutions for diverse challenges. Whether you're deploying AI models on cloud platforms like AWS or optimizing them for edge devices with TensorFlow Lite, this book provides step-by-step guidance. Designed for developers, AI enthusiasts, and data scientists, it balances theoretical depth with actionable insights, making it the ultimate resource for mastering modern deep learning frameworks and advancing your career in AIWhat you will learn Understand neural network basics Build models using TensorFlow and Keras Train and optimize PyTorch models Apply CNNs for image recognition Use RNNs and LSTMs for sequence tasks Leverage Transformers in NLP Who this book is for This book is for software developers, AI enthusiasts, data scientists, and ML engineers who aim to master deep learning frameworks. A foundational understanding of programming and basic ML concepts is recommended. Ideal for those seeking hands-on experience in real-world AI projects.