TensorFlow

Packt Publishing, 2021. — 417 p. — ISBN 9781800208865. Master TensorFlow to create powerful machine learning algorithms, with valuable insights on Keras, Boosted Trees, Tabular Data, Transformers, Reinforcement Learning and more Key Features Work with the latest code and examples for TensorFlow 2 Get to grips with the fundamentals including variables, matrices, and data sources...

Packt Publishing, 2019. - 184p. - ISBN: 1789533589 !Code files only Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasks Key Features Explore efficient Reinforcement Learning algorithms and code them using TensorFlow and Python Train Reinforcement Learning agents for problems, ranging from computer games to...

Packt Publishing, 2018. — 96 p. — ISBN: 178953867X. !Code files only Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features Discover image processing for machine vision Build an effective image classification system using the power of CNNs Leverage TensorFlow’s capabilities to perform efficient deep learning Book Description TensorFlow is...

Packt Publishing, 2019. — 217 p. — ISBN: 978-1-83882-385-6. Code files only! Get to grips with key structural changes in TensorFlow 2.0 TensorFlow is an end-to-end machine learning platform for experts as well as beginners, and its new version, TensorFlow 2.0 (TF 2.0), improves its simplicity and ease of use. This book will help you understand and utilize the latest TensorFlow...

2nd Edition. — Packt Publishing Limited, July 2020. — 180 p. — ISBN: 978-1-80020-121-7. Code files only! Cut through the noise and get real results with a step-by-step project-based approach to machine learning with TensorFlow and Keras Machine learning gives computers the ability to learn. With each passing day, machine learning is becoming increasingly transformational to...

Packt Publishing, 2021. — 267 p. — ISBN 1838826785, 9781838826789. Implement real-world DevOps and cloud deployment scenarios using Azure Repos, Azure Pipelines, and other Azure DevOps tools Key Features Improve your application development life cycle with Azure DevOps in a step-by-step manner Apply continuous integration and continuous deployment to reduce application downtime...

Packt Publishing, 2018. — 478 p. — ISBN: 1788292065. Code files only! Build, scale, and deploy deep neural network models using the star libraries in Python 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...

Packt Publishing, 2018. — 154 p. — ISBN: 978-1789617740. !Code files only Learn advanced techniques to improve the performance and quality of your predictive models Key Features Use ensemble methods to improve the performance of predictive analytics models Implement feature selection, dimensionality reduction, and cross-validation techniques Develop neural network models and...

Packt Publishing, 2017. — 274 p. — ISBN: 978-1788390392. !Code files only Develop a strong background in neural network programming from scratch, using the popular Tensorflow library. Use Tensorflow to implement different kinds of neural networks – from simple feedforward neural networks to multilayered perceptrons, CNNs, RNNs and more. A highly practical guide including...

2nd Edition. — Packt Publishing, 2020. — 646 p. — ISBN: 978-1-83882-341-2. Code files only! Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You’ll...

Packt Publishing, 2017. — 536 p. Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x 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...

Packt Publishing, 2019. — 196 p. — ISBN: 178953075X. !Code files only Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features Train your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine learning and learn advanced techniques such as training...

Packt Publishing, 2017. — 304 p. — ISBN: 978-1786462961. !Only code files! Tackle common commercial machine learning problems with Google’s TensorFlow 1.x library and build deployable solutions. About This Book Enter the new era of second-generation machine learning with Python with this practical and insightful guide Set up TensorFlow 1.x for actual industrial use, including...

Apress, 2020. — 374 p. — ISBN 1484263723. !Code files only Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and Industry Work on economic problems and solutions with tools from machine learning. ML has taken time to move into the space of academic economics. This is because empirical work in economics is concentrated on the...

Packt Publishing Ltd., 2020. — 430 p. — ISBN: 978-1-83882-706-9. Code files only! Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you...

O’Reilly Media, Inc., 2021. — 325 p. — ISBN 978-1-492-09079-3. 2021-05-07: First Release Code Files Only! Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in...

Apress, 2018. — 227 p. — ISBN: 1484235150. Code files only! Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep...

2nd edition. — Manning Publications, 2021. — 456 p.— ISBN 1617297712, 9781617297717. Code files only! Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Updated with new code, new projects, and new chapters, Machine Learning with...

Apress, 2018. — 398 p. - ISBN: 978-1-4842-3096-1 Code files only! Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep...

Packt, 2019. — 372 p. — ISBN: 9781788830645. Code files only! A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more. Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as...

Packt Publishing, 2018. — 442 p. Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effective method to train your learning agents and solve a variety of problems in Artificial Intelligence—from...

Wiley, 2018. — 360 p. — (For Dummies). — ISBN: 1119466210. !Only Code files! Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy–to–follow book on the subject. Inside, you...

Manning Publishing, 2018. — 251 p. — ISBN13: 978-1-61729-387-0. Code files only! Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python.