TensorFlow 1.x Deep Learning Cookbook

TensorFlow 1.x Deep Learning Cookbook
Author: Antonio Gulli
Publisher: Packt Publishing Ltd
Total Pages: 526
Release: 2017-12-12
Genre: Computers
ISBN: 1788291867

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.

French

French
Author: California. Department of Education
Publisher:
Total Pages: 164
Release: 1962
Genre: French language
ISBN:

Readings in Foreign Languages for the Elementary School

Readings in Foreign Languages for the Elementary School
Author: Stanley Levenson
Publisher:
Total Pages: 590
Release: 1967
Genre: Languages, Modern
ISBN:

Foreign language teaching in the elementary schools can now be seen as a genuine revolution in American education. This development, commonly referred to as "FLES," has made dramatic advances in recent years. The selections brought together in this volume are intended to provide a comprehensive overview of foreign language programs in grades kindergarten through eight. - Preface.

La Femme Nabila

La Femme Nabila
Author: Weiner Marthone
Publisher: Lulu.com
Total Pages: 154
Release: 2013-10-03
Genre: Fiction
ISBN: 1304508552

On prend pour guide deux sorte d'homme :1-Les uns sont les savants qui s'aident et aident les autres et qui possèdent la vérité par démonstration non par imitation, appèlent les hommes à la connaissance de la vérité par le raisonnement et non par l'autorité.2-Les autres s'annihilent eux et autrui, imitant leur père, leur aïeul, leur ancêtres dans ce qui croyaient et trouvaient bon, renonçant à l'esprit d'examen, ils invitent les hommes à les suivre aveuglément, mais l'aveugle est t'il fait pour guider les aveugles??( abdul baha, 1954 ).

The Smart Set

The Smart Set
Author: George Jean Nathan
Publisher:
Total Pages: 656
Release: 1901
Genre: Literature, Modern
ISBN:

Chats mignons

Chats mignons
Author: Marine Guion
Publisher:
Total Pages: 12
Release: 2020-08-13
Genre:
ISBN: 9782898021732

Encore Tricolore Nouvelle 2 Student Book

Encore Tricolore Nouvelle 2 Student Book
Author: Sylvia Honnor
Publisher: Nelson Thornes
Total Pages: 180
Release: 2001
Genre: Foreign Language Study
ISBN: 9780174403227

This course features: a rigorous and comprehensive approach to grammar progression, with clear explanations and extensive practice ; motivating and challenging topics and tasks, set in authentic contexts, to enable students to reach their full potential ; clear and attractively designed pages, with humorous and stimulating artwork ; user-friendly vocabulary and grammar reference sections to encourage independent learning ; and end of unit summaries to provide a clear learning framework.