Tensorflow Mastery
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TensorFlow Mastery
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
Author: Armando Fandango
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-01-22
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
Author: Rick van Hattem
language: en
Publisher: Packt Publishing Ltd
Release Date: 2022-05-20
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
