Fully Connected

2017-04-20 Business & Economics

Author : Julia Hobsbawm
Release : 2017-04-20
Genre : Business & Economics
Kind : eBook
Book Rating : 854/5 ( reviews)

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Book Synopsis Fully Connected by : Julia Hobsbawm

Download or read book Fully Connected written by Julia Hobsbawm. This book was released on 2017-04-20. Available in PDF, EPUB and Kindle. Book excerpt: Shortlisted for the CMI's Management Book of the Year Award 2018 and the Business Book Awards 2018 Twenty-five years after the arrival of the Internet, we are drowning in data and deadlines. Humans and machines are in fully connected overdrive - and starting to become entwined as never before. Truly, it is an Age of Overload. We can never have imagined that absorbing so much information while trying to maintain a healthy balance in our personal and professional lives could feel so complex, dissatisfying and unproductive. Something is missing. That something, Julia Hobsbawm argues in this ground-breaking book, is Social Health, a new blueprint for modern connectedness. She begins with the premise that much of what we think about healthy ways to live have not been updated any more than have most post-war modern institutions, which are themselves also struggling in the twenty-first century. In 1946, the World Health Organization defined 'health' as 'a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity.' What we understood by 'social' in the middle of the last century now desperately needs an update. In Fully Connected Julia Hobsbawm takes us on a journey – often a personal one, 'from Telex to Twitter' – to illustrate how the answer to the Age of Overload can come from devising management-based systems which are both highly practical and yet intuitive, and which draw inspiration from the huge advances the world has made in tackling other kinds of health, specifically nutrition, exercise, and mental well-being. Drawing on the latest thinking in health and behavioural economics, social psychology, neuroscience, management and social network analysis, this book provides a cornucopia of case studies and ideas, to educate and inspire a new generation of managers, policymakers and anyone wanting to navigate through the rough seas of overload.

Fully Connected

2022-06-20 Business & Economics

Author : Mel Kettle
Release : 2022-06-20
Genre : Business & Economics
Kind : eBook
Book Rating : 135/5 ( reviews)

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Book Synopsis Fully Connected by : Mel Kettle

Download or read book Fully Connected written by Mel Kettle. This book was released on 2022-06-20. Available in PDF, EPUB and Kindle. Book excerpt: Are you feeling exhausted and overwhelmed? Do you feel like you have no time for yourself? Are you wondering how to regain your energy and find joy? Being a leader today is hard. We are pulled in so many directions, with big responsibilities and many livelihoods reliant on us. It may surprise you that our first responsibility is to care for ourselves. To make choices that are right for us, instead of right for others. With blurred boundaries between work and life, it can be difficult to find time for this. We’ve glorified being busy to become over-scheduled and over-committed and feel guilty about taking time for ourselves. Fully Connected is for leaders who want to take back ownership of their lives and reclaim their health and energy. On their terms. When you figure out what lights you up and how to say no to what doesn’t bring you joy, you become a better leader as you energise your co-workers, communicate with conviction and create a culture of belonging. In these pages Mel Kettle shares practical, simple and actionable ideas for you to increase your self-awareness, understand what motivates you and prioritise self-care so you can become a fully connected leader.

TensorFlow for Deep Learning

2018-03-01 Computers

Author : Bharath Ramsundar
Release : 2018-03-01
Genre : Computers
Kind : eBook
Book Rating : 400/5 ( reviews)

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Book Synopsis TensorFlow for Deep Learning by : Bharath Ramsundar

Download or read book TensorFlow for Deep Learning written by Bharath Ramsundar. This book was released on 2018-03-01. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines. TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. It’s ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms. Learn TensorFlow fundamentals, including how to perform basic computation Build simple learning systems to understand their mathematical foundations Dive into fully connected deep networks used in thousands of applications Turn prototypes into high-quality models with hyperparameter optimization Process images with convolutional neural networks Handle natural language datasets with recurrent neural networks Use reinforcement learning to solve games such as tic-tac-toe Train deep networks with hardware including GPUs and tensor processing units

Learning TensorFlow

2017-08-09 Computers

Author : Tom Hope
Release : 2017-08-09
Genre : Computers
Kind : eBook
Book Rating : 481/5 ( reviews)

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Book Synopsis Learning TensorFlow by : Tom Hope

Download or read book Learning TensorFlow written by Tom Hope. This book was released on 2017-08-09. Available in PDF, EPUB and Kindle. Book excerpt: Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics. Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to students and researchers. You’ll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, you’ll know how to build and deploy production-ready deep learning systems in TensorFlow. Get up and running with TensorFlow, rapidly and painlessly Learn how to use TensorFlow to build deep learning models from the ground up Train popular deep learning models for computer vision and NLP Use extensive abstraction libraries to make development easier and faster Learn how to scale TensorFlow, and use clusters to distribute model training Deploy TensorFlow in a production setting

Hands-On Neural Networks with TensorFlow 2.0

2019-09-18 Computers

Author : Paolo Galeone
Release : 2019-09-18
Genre : Computers
Kind : eBook
Book Rating : 795/5 ( reviews)

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Book Synopsis Hands-On Neural Networks with TensorFlow 2.0 by : Paolo Galeone

Download or read book Hands-On Neural Networks with TensorFlow 2.0 written by Paolo Galeone. This book was released on 2019-09-18. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0 Key FeaturesUnderstand the basics of machine learning and discover the power of neural networks and deep learningExplore the structure of the TensorFlow framework and understand how to transition to TF 2.0Solve any deep learning problem by developing neural network-based solutions using TF 2.0Book Description TensorFlow, the most popular and widely used machine learning framework, has made it possible for almost anyone to develop machine learning solutions with ease. With TensorFlow (TF) 2.0, you'll explore a revamped framework structure, offering a wide variety of new features aimed at improving productivity and ease of use for developers. This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting familiar with the concepts and techniques required to build solutions to deep learning problems. As you advance, you’ll learn how to create classifiers, build object detection and semantic segmentation networks, train generative models, and speed up the development process using TF 2.0 tools such as TensorFlow Datasets and TensorFlow Hub. By the end of this TensorFlow book, you'll be ready to solve any machine learning problem by developing solutions using TF 2.0 and putting them into production. What you will learnGrasp machine learning and neural network techniques to solve challenging tasksApply the new features of TF 2.0 to speed up developmentUse TensorFlow Datasets (tfds) and the tf.data API to build high-efficiency data input pipelinesPerform transfer learning and fine-tuning with TensorFlow HubDefine and train networks to solve object detection and semantic segmentation problemsTrain Generative Adversarial Networks (GANs) to generate images and data distributionsUse the SavedModel file format to put a model, or a generic computational graph, into productionWho this book is for If you're a developer who wants to get started with machine learning and TensorFlow, or a data scientist interested in developing neural network solutions in TF 2.0, this book is for you. Experienced machine learning engineers who want to master the new features of the TensorFlow framework will also find this book useful. Basic knowledge of calculus and a strong understanding of Python programming will help you grasp the topics covered in this book.

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