TensorFlow Books



Bookstore > Books > TensorFlow

Intelligent Mobile Projects with TensorFlow

Intelligent Mobile Projects with TensorFlow

As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, ...
Hands-On Convolutional Neural Networks with TensorFlow

Hands-On Convolutional Neural Networks with TensorFlow

Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time!W...
Hands-On Deep Learning for Images with TensorFlow

Hands-On Deep Learning for Images with TensorFlow

TensorFlow is Google's popular offering for machine learning and deep learning, quickly becoming a favorite tool for performing fast, efficient, and accurate deep learning tasks.Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations of real-world projects, teaching you how to leverage TensorFlow's capabi...
TensorFlow For Dummies

TensorFlow For Dummies

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'll find out how to write applications with TensorFlow, while also g...
Deep Learning with Applications Using Python

Deep Learning with Applications Using Python

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 Learning with Appli...
TensorFlow for Deep Learning

TensorFlow for Deep Learning

Learn how to solve challenging machine learning problems with Tensorflow, Google's revolutionary new system for deep learning. If you have some background with basic linear algebra and calculus, this practical book shows you how to build - and when to use - deep learning architectures. You'll learn how to design systems capable of detecti...
Machine Learning with TensorFlow

Machine Learning with TensorFlow

TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plu...
Natural Language Processing with TensorFlow

Natural Language Processing with TensorFlow

Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstruct...
Deep Learning with TensorFlow, 2nd Edition

Deep Learning with TensorFlow, 2nd Edition

Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks.This book is conce...
Hands-On Transfer Learning with Python

Hands-On Transfer Learning with Python

Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems.The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts...
Python Reinforcement Learning Projects

Python Reinforcement Learning Projects

Reinforcement learning is one of the most exciting and rapidly growing fields in machine learning. This is due to the many novel algorithms developed and incredible results published in recent years.In this book, you will learn about the core concepts of RL including Q-learning, policy gradients, Monte Carlo processes, and several deep re...
R Deep Learning Essentials, 2nd Edition

R Deep Learning Essentials, 2nd Edition

Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.This bo...
TensorFlow Machine Learning Cookbook, 2nd Edition

TensorFlow Machine Learning Cookbook, 2nd Edition

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...
Mastering Predictive Analytics with scikit-learn and TensorFlow

Mastering Predictive Analytics with scikit-learn and TensorFlow

Python is a programming language that provides a wide range of features that can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification an...
Applied Deep Learning with Python

Applied Deep Learning with Python

Taking an approach that uses the latest developments in the Python ecosystem, you'll first be guided through the Jupyter ecosystem, key visualization libraries and powerful data sanitization techniques before we train our first predictive model. We'll explore a variety of approaches to classification like support vector networks, random d...
Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.You'll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with...
Applied Natural Language Processing with Python

Applied Natural Language Processing with Python

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms.Applied Natura...
Beginning AI Bot Frameworks

Beginning AI Bot Frameworks

Want to build your first AI bot but don't know where to start? This book provides a comprehensive look at all the major bot frameworks available. You'll learn the basics for each framework in one place and get a clear picture for which one is best for your needs.Beginning AI Bot Frameworks starts with an overview of bot development and th...
Applied Deep Learning

Applied Deep Learning

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You'll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing ...
Monetizing Machine Learning

Monetizing Machine Learning

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book - Amazon, Microsoft, Google, and PythonAnywhere.You will work through a series of common Python data science problems in an increasing...

Pages: 1, 2 | Next→

Subscribe to Newsletter

Be the first to know about new IT books, upcoming releases, exclusive offers and more.