Tensorflow Machine Learning Cookbook

TensorFlow Machine Learning Cookbook PDF
Author: Nick McClure
Publisher: Packt Publishing Ltd
ISBN: 178913076X
Size: 33.34 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 422
View: 918

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Book Description:

Tensorflow Machine Learning Cookbook

by Nick McClure, Tensorflow Machine Learning Cookbook Book available in PDF, EPUB, Mobi Format. Download Tensorflow Machine Learning Cookbook books, Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features of Tensorflow to build and deploy machine learning models Train neural networks to tackle real-world problems in Computer Vision and NLP Handy techniques to write production-ready code for your Tensorflow models Book Description TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before. With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and more. You will explore RNNs, CNNs, GANs, reinforcement learning, and capsule networks, each using Google's machine learning library, TensorFlow. Through real-world examples, you will get hands-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you will be shown how to take it to production. By the end of the book, you will be proficient in the field of machine intelligence using TensorFlow. You will also have good insight into deep learning and be capable of implementing machine learning algorithms in real-world scenarios. What you will learn Become familiar with the basic features of the TensorFlow library Get to know Linear Regression techniques with TensorFlow Learn SVMs with hands-on recipes Implement neural networks to improve predictive modeling Apply NLP and sentiment analysis to your data Master CNN and RNN through practical recipes Implement the gradient boosted random forest to predict housing prices Take TensorFlow into production Who this book is for If you are a data scientist or a machine learning engineer with some knowledge of linear algebra, statistics, and machine learning, this book is for you. If you want to skip the theory and build production-ready machine learning models using Tensorflow without reading pages and pages of material, this book is for you. Some background in Python programming is assumed.







Tensorflow 1 X Deep Learning Cookbook

TensorFlow 1 x Deep Learning Cookbook PDF
Author: Antonio Gulli
Publisher: Packt Publishing Ltd
ISBN: 1788291867
Size: 32.85 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 536
View: 5060

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Book Description:

Tensorflow 1 X Deep Learning Cookbook

by Antonio Gulli, Tensorflow 1 X Deep Learning Cookbook Book available in PDF, EPUB, Mobi Format. Download Tensorflow 1 X Deep Learning Cookbook books, Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book Skill up and implement tricky neural networks using Google's TensorFlow 1.x An easy-to-follow guide that lets you explore reinforcement learning, GANs, autoencoders, multilayer perceptrons and more. Hands-on recipes to work with Tensorflow on desktop, mobile, and cloud environment Who This Book Is For This book is intended for data analysts, data scientists, machine learning practitioners and deep learning enthusiasts who want to perform deep learning tasks on a regular basis and are looking for a handy guide they can refer to. People who are slightly familiar with neural networks, and now want to gain expertise in working with different types of neural networks and datasets, will find this book quite useful. What You Will Learn Install TensorFlow and use it for CPU and GPU operations Implement DNNs and apply them to solve different AI-driven problems. Leverage different data sets such as MNIST, CIFAR-10, and Youtube8m with TensorFlow and learn how to access and use them in your code. Use TensorBoard to understand neural network architectures, optimize the learning process, and peek inside the neural network black box. Use different regression techniques for prediction and classification problems Build single and multilayer perceptrons in TensorFlow Implement CNN and RNN in TensorFlow, and use it to solve real-world use cases. Learn how restricted Boltzmann Machines can be used to recommend movies. Understand the implementation of Autoencoders and deep belief networks, and use them for emotion detection. Master the different reinforcement learning methods to implement game playing agents. GANs and their implementation using TensorFlow. In Detail Deep neural networks (DNNs) have achieved a lot of success in the field of computer vision, speech recognition, and natural language processing. The entire world is filled with excitement about how deep networks are revolutionizing artificial intelligence. This exciting recipe-based guide will take you from the realm of DNN theory to implementing them practically to solve the real-life problems in artificial intelligence domain. In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning. You will implement different deep learning networks such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Q-learning Networks (DQNs), and Generative Adversarial Networks (GANs) with easy to follow independent recipes. You will learn how to make Keras as backend with TensorFlow. With a problem-solution approach, you will understand how to implement different deep neural architectures to carry out complex tasks at work. You will learn the performance of different DNNs on some popularly used data sets such as MNIST, CIFAR-10, Youtube8m, and more. You will not only learn about the different mobile and embedded platforms supported by TensorFlow but also how to set up cloud platforms for deep learning applications. Get a sneak peek of TPU architecture and how they will affect DNN future. By using crisp, no-nonsense recipes, you will become an expert in implementing deep learning techniques in growing real-world applications and research areas such as reinforcement learning, GANs, autoencoders and more. Style and approach This book consists of hands-on recipes where you'll deal with real-world problems. You'll execute a series of tasks as you walk through data mining challenges using TensorFlow 1.x. Your one-stop solution for common and not-so-common pain points, this is a book that you must have on the shelf.







Tensorflow 2 Reinforcement Learning Cookbook

TensorFlow 2 Reinforcement Learning Cookbook PDF
Author: Praveen Palanisamy
Publisher: Packt Publishing Ltd
ISBN: 1838985999
Size: 47.14 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 472
View: 6281

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Book Description:

Tensorflow 2 Reinforcement Learning Cookbook

by Praveen Palanisamy, Tensorflow 2 Reinforcement Learning Cookbook Book available in PDF, EPUB, Mobi Format. Download Tensorflow 2 Reinforcement Learning Cookbook books, This cookbook will help you to gain a solid understanding of deep reinforcement learning (RL) algorithms with the help of concise, easy-to-follow implementations from scratch. You'll learn how to implement these algorithms with minimal code and develop AI applications to solve real-world and business problems using RL.







Tensorflow 2 0 Computer Vision Cookbook

TensorFlow 2 0 Computer Vision Cookbook PDF
Author: Jesus Martinez
Publisher: Packt Publishing Ltd
ISBN: 183882068X
Size: 75.69 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 542
View: 6054

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Book Description:

Tensorflow 2 0 Computer Vision Cookbook

by Jesus Martinez, Tensorflow 2 0 Computer Vision Cookbook Book available in PDF, EPUB, Mobi Format. Download Tensorflow 2 0 Computer Vision Cookbook books, Get well versed with state-of-the-art techniques to tailor training processes and boost the performance of computer vision models using machine learning and deep learning techniques Key Features Develop, train, and use deep learning algorithms for computer vision tasks using TensorFlow 2.x Discover practical recipes to overcome various challenges faced while building computer vision models Enable machines to gain a human level understanding to recognize and analyze digital images and videos Book Description Computer vision is a scientific field that enables machines to identify and process digital images and videos. This book focuses on independent recipes to help you perform various computer vision tasks using TensorFlow. The book begins by taking you through the basics of deep learning for computer vision, along with covering TensorFlow 2.x's key features, such as the Keras and tf.data.Dataset APIs. You'll then learn about the ins and outs of common computer vision tasks, such as image classification, transfer learning, image enhancing and styling, and object detection. The book also covers autoencoders in domains such as inverse image search indexes and image denoising, while offering insights into various architectures used in the recipes, such as convolutional neural networks (CNNs), region-based CNNs (R-CNNs), VGGNet, and You Only Look Once (YOLO). Moving on, you'll discover tips and tricks to solve any problems faced while building various computer vision applications. Finally, you'll delve into more advanced topics such as Generative Adversarial Networks (GANs), video processing, and AutoML, concluding with a section focused on techniques to help you boost the performance of your networks. By the end of this TensorFlow book, you'll be able to confidently tackle a wide range of computer vision problems using TensorFlow 2.x. What you will learn Understand how to detect objects using state-of-the-art models such as YOLOv3 Use AutoML to predict gender and age from images Segment images using different approaches such as FCNs and generative models Learn how to improve your network's performance using rank-N accuracy, label smoothing, and test time augmentation Enable machines to recognize people's emotions in videos and real-time streams Access and reuse advanced TensorFlow Hub models to perform image classification and object detection Generate captions for images using CNNs and RNNs Who this book is for This book is for computer vision developers and engineers, as well as deep learning practitioners looking for go-to solutions to various problems that commonly arise in computer vision. You will discover how to employ modern machine learning (ML) techniques and deep learning architectures to perform a plethora of computer vision tasks. Basic knowledge of Python programming and computer vision is required.







Tensorflow F R Dummies

TensorFlow f  r Dummies PDF
Author: Matthew Scarpino
Publisher: John Wiley & Sons
ISBN: 3527818960
Size: 22.56 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : de
Pages : 324
View: 7507

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Book Description:

Tensorflow F R Dummies

by Matthew Scarpino, Tensorflow F R Dummies Book available in PDF, EPUB, Mobi Format. Download Tensorflow F R Dummies books, TensorFlow ist Googles herausragendes Werkzeug für das maschinelle Lernen, und dieses Buch macht es zugänglich, selbst wenn Sie bisher wenig über neuronale Netze und Deep Learning wissen. Sie erfahren, auf welchen Prinzipien TensorFlow basiert und wie Sie mit TensorFlow Anwendungen schreiben. Gleichzeitig lernen Sie die Konzepte des maschinellen Lernens kennen. Wenn Sie Softwareentwickler sind und TensorFlow in Zukunft einsetzen möchten, dann ist dieses Buch der richtige Einstieg für Sie. Greifen Sie auch zu, wenn Sie einfach mehr über das maschinelle Lernen erfahren wollen.







Machine Learning Using Tensorflow Cookbook

Machine Learning Using TensorFlow Cookbook PDF
Author: Alexia Audevart
Publisher: Packt Publishing Ltd
ISBN: 1800206887
Size: 52.42 MB
Format: PDF
Category : Computers
Languages : en
Pages : 416
View: 266

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Book Description:

Machine Learning Using Tensorflow Cookbook

by Alexia Audevart, Machine Learning Using Tensorflow Cookbook Book available in PDF, EPUB, Mobi Format. Download Machine Learning Using Tensorflow Cookbook books, This book is designed to guide you through TensorFlow 2 and how to use it effectively. Throughout the book, you will work through recipes and get hands-on experience to perform complex data computations, gain insights into your data, and more.







Einf Hrung In Machine Learning Mit Python

Einf  hrung in Machine Learning mit Python PDF
Author: Andreas C. Müller
Publisher: O'Reilly
ISBN: 3960101120
Size: 59.63 MB
Format: PDF, Kindle
Category : Computers
Languages : de
Pages : 378
View: 7039

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Book Description:

Einf Hrung In Machine Learning Mit Python

by Andreas C. Müller, Einf Hrung In Machine Learning Mit Python Book available in PDF, EPUB, Mobi Format. Download Einf Hrung In Machine Learning Mit Python books, Machine Learning ist zu einem wichtigen Bestandteil vieler kommerzieller Anwendungen und Forschungsprojekte geworden, von der medizinischen Diagnostik bis hin zur Suche nach Freunden in sozialen Netzwerken. Um Machine-Learning-Anwendungen zu entwickeln, braucht es keine großen Expertenteams: Wenn Sie Python-Grundkenntnisse mitbringen, zeigt Ihnen dieses Praxisbuch, wie Sie Ihre eigenen Machine-Learning-Lösungen erstellen. Mit Python und der scikit-learn-Bibliothek erarbeiten Sie sich alle Schritte, die für eine erfolgreiche Machine-Learning-Anwendung notwendig sind. Die Autoren Andreas Müller und Sarah Guido konzentrieren sich bei der Verwendung von Machine-Learning-Algorithmen auf die praktischen Aspekte statt auf die Mathematik dahinter. Wenn Sie zusätzlich mit den Bibliotheken NumPy und matplotlib vertraut sind, hilft Ihnen dies, noch mehr aus diesem Tutorial herauszuholen. Das Buch zeigt Ihnen: - grundlegende Konzepte und Anwendungen von Machine Learning - Vor- und Nachteile weit verbreiteter maschineller Lernalgorithmen - wie sich die von Machine Learning verarbeiteten Daten repräsentieren lassen und auf welche Aspekte der Daten Sie sich konzentrieren sollten - fortgeschrittene Methoden zur Auswertung von Modellen und zum Optimieren von Parametern - das Konzept von Pipelines, mit denen Modelle verkettet und Arbeitsabläufe gekapselt werden - Arbeitsmethoden für Textdaten, insbesondere textspezifische Verarbeitungstechniken - Möglichkeiten zur Verbesserung Ihrer Fähigkeiten in den Bereichen Machine Learning und Data Science Dieses Buch ist eine fantastische, super praktische Informationsquelle für jeden, der mit Machine Learning in Python starten möchte – ich wünschte nur, es hätte schon existiert, als ich mit scikit-learn anfing! Hanna Wallach, Senior Researcher, Microsoft Research







Tensorflow Machine Learning Projects

TensorFlow Machine Learning Projects PDF
Author: Ankit Jain
Publisher: Packt Publishing Ltd
ISBN: 1789132401
Size: 20.52 MB
Format: PDF
Category : Computers
Languages : en
Pages : 322
View: 5207

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Book Description:

Tensorflow Machine Learning Projects

by Ankit Jain, Tensorflow Machine Learning Projects Book available in PDF, EPUB, Mobi Format. Download Tensorflow Machine Learning Projects books, Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects Key Features Use machine learning and deep learning principles to build real-world projects Get to grips with TensorFlow's impressive range of module offerings Implement projects on GANs, reinforcement learning, and capsule network Book Description TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using TensorFlow in various real-world projects. With the help of this book, you’ll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem. To start with, you’ll get to grips with using TensorFlow for machine learning projects; you’ll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification. As you make your way through the book, you’ll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. You’ll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts. By the end of this book, you’ll have gained the required expertise to build full-fledged machine learning projects at work. What you will learn Understand the TensorFlow ecosystem using various datasets and techniques Create recommendation systems for quality product recommendations Build projects using CNNs, NLP, and Bayesian neural networks Play Pac-Man using deep reinforcement learning Deploy scalable TensorFlow-based machine learning systems Generate your own book script using RNNs Who this book is for TensorFlow Machine Learning Projects is for you if you are a data analyst, data scientist, machine learning professional, or deep learning enthusiast with basic knowledge of TensorFlow. This book is also for you if you want to build end-to-end projects in the machine learning domain using supervised, unsupervised, and reinforcement learning techniques







Kubernetes In Action

Kubernetes in Action PDF
Author: Marko Lukša
Publisher: Carl Hanser Verlag GmbH Co KG
ISBN: 3446458247
Size: 65.66 MB
Format: PDF, ePub
Category : Computers
Languages : de
Pages : 670
View: 896

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Book Description:

Kubernetes In Action

by Marko Lukša, Kubernetes In Action Book available in PDF, EPUB, Mobi Format. Download Kubernetes In Action books, Mit Kubernetes große Container-Infrastrukturen ausfallsicher verwalten Nach einer Einführung in die typischen Problemstellungen, mit denen Softwareentwickler und Administratoren konfrontiert sind, und wie diese mit Kubernetes gelöst werden können, lernen Sie in einem ersten Beispielprojekt die praktische Umsetzung. Es wird gezeigt, wie eine einfache in einem Container laufende Web-Applikation über ein Kubernetes-Cluster verwaltet werden kann. Im zweiten Teil des Buches lernen Sie die zu Grunde liegenden Konzepte kennen, deren Verständnis unbedingt notwendig ist, um große Container-Cluster mit Kubernetes zu betreiben. Im letzten Teil wird die Funktionsweise von Kubernetes beschrieben und auf weiterführende Aspekte eingegangen. Hier wird außerdem das erworbene Wissen aus den ersten beiden Teilen zusammengeführt, damit Sie den vollen Nutzen aus der Kubernetes-Plattform ziehen können.







Machine Learning Mit Python Das Praxis Handbuch Fur Data Science Predictive Analytics Und Deep Learning

MACHINE LEARNING MIT PYTHON DAS PRAXIS HANDBUCH FUR DATA SCIENCE  PREDICTIVE ANALYTICS UND DEEP LEARNING  PDF
Author: SEBASTIAN RASCHKA.
Publisher:
ISBN: 9783958454231
Size: 20.28 MB
Format: PDF, Docs
Category :
Languages : de
Pages :
View: 3252

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Book Description:

Machine Learning Mit Python Das Praxis Handbuch Fur Data Science Predictive Analytics Und Deep Learning

by SEBASTIAN RASCHKA., Machine Learning Mit Python Das Praxis Handbuch Fur Data Science Predictive Analytics Und Deep Learning Book available in PDF, EPUB, Mobi Format. Download Machine Learning Mit Python Das Praxis Handbuch Fur Data Science Predictive Analytics Und Deep Learning books,