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Author Samit Ahlawat
This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library.Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN – two kinds of neural networ....
Release Date 2022/12 -
Author Santanu Pattanayak
This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0.Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you w....
Release Date 2022/12 -
Author Thushan Ganegedara
Unlock the TensorFlow design secrets behind successful deep learning applications! Deep learning StackOverflow contributor Thushan Ganegedara teaches you the new features of TensorFlow 2 in this hands-on guide. In TensorFlow in Action you will learn: Fundamentals of TensorFlowImplementing deep l....
Release Date 2022/10 -
Natural Language Processing with TensorFlow - Second Edition
Author Thushan Ganegedara , Andrei Lopatenko
From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) modelsKey FeaturesLearn to solve common NLP problems effectively with TensorFlow 2.xImplement end-to-en....
Release Date 2022/07 -
Author Umberto Michelucci
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so tha....
Release Date 2022/03 -
Author Liangqu Long , Xiangming Zeng
Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learn....
Release Date 2022/01 -
Author KC Tung
This easy-to-use reference for Tensorflow 2 pattern designs in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow....
Release Date 2021/10 -
Advanced Natural Language Processing with TensorFlow 2
One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasksKey FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text gener.... -
Machine Learning Using TensorFlow Cookbook
Master TensorFlow to create powerful machine learning algorithms, with valuable insights on Keras, Boosted Trees, Tabular Data, Transformers, Reinforcement Learning and moreKey FeaturesWork with the latest code and examples for TensorFlow 2Get to grips with the fundamentals including variables, matr.... -
TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service
Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab’s default install of the most current TensorFlow 2.x along w.... -
Machine Learning with TensorFlow, Second Edition
Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neur.... -
Hands-On Image Generation with TensorFlow
Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratchKey FeaturesUnderstand the different architectures for image generation, including autoencoders and GANsBuild models that can edit an image of your face, turn photos.... -
Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects
Author Poornachandra Sarang
Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.After learning what's new in TensorFlow 2, you'l....
Release Date 2020/11 -
Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
Author Nikita Silaparasetty
Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text....
Release Date 2020/09 -
Practical TensorFlow.js: Deep Learning in Web App Development
Author Juan De Dios Santos Rivera
Develop and deploy deep learning web apps using the TensorFlow.js library. TensorFlow.js is part of a bigger framework named TensorFlow, which has many tools that supplement it, such as TensorBoard, ml5js, tfjs-vis. This book will cover all these technologies ....
Release Date 2020/09 -
Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras
Author Vinita Silaparasetty
Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications. Deep learning is quickly integrati....
Release Date 2020/07 -
Author Romeo Kienzler , Jerome Nilmeier
Since its 2015 release, TensorFlow has become a de facto standard among enterprise AI technologies. This comprehensive report introduces the new features of TensorFlow 2.x and Keras to developers and data scientists with machine learning skills. Many companies consider Te....
Release Date 2020/07 -
The Applied TensorFlow and Keras Workshop
Author Harveen Singh Chadha , Luis Capelo
Cut through the noise and get real results with this workshop for beginners. Use a project-based approach to exploring machine learning with TensorFlow and Keras.Key FeaturesUnderstand the nuances of setting up a deep learning programming environment Gain insights into t....
Release Date 2020/07 -
Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
Author Anubhav Singh , Rimjhim Bhadani
Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and FlutterKey FeaturesWork through projects covering mobile vision, style transfer, speech processing, and multimedia processing Cover interesting d....
Release Date 2020/04 -
Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition
Author Rowel Atienza
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and KerasKey FeaturesExplore the most advanced deep learning techniques that drive modern AI results New coverage of unsupervised deep learning using mutual informatio....
Release Date 2020/02 -
Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow
Author Mahmoud Hamdy , Hisham El-Amir
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build ....
Release Date 2019/12 -
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Author Avinash Manure , Pramod Singh
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learnin....
Release Date 2019/12 -
Deep Learning with TensorFlow 2 and Keras - Second Edition
Author Antonio Gulli , Amita Kapoor , Sujit Pal
Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the start Teaches key machine and deep learning techniques Understand....
Release Date 2019/12 -
Hands-On Neural Networks with TensorFlow 2.0
Author Paolo Galeone
A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0Key FeaturesUnderstand the basics of machine learning and discover the power of neural networks and deep learning Explore the structure of the TensorFlow framework and understand....
Release Date 2019/09 -
Hands-On Computer Vision with TensorFlow 2
Author Eliot Andres , Benjamin Planche
A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern ....
Release Date 2019/05 -
TensorFlow 2.0 Quick Start Guide
Author Tony Holdroyd
Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.Key FeaturesTrain your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine learning and lear....
Release Date 2019/03 -
Author Ahmed Fawzy Gad
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learnin....
Release Date 2018/12 -
TensorFlow Machine Learning Projects
Author Amita Kapoor , Armando Fandango , Ankit Jain
Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projectsKey FeaturesUse machine learning and deep learning principles to build real-world projects Get to grips with TensorFl....
Release Date 2018/11