by Matthew Scarpino
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 grasping the concepts underlying machine learning - all without ev...
Price: $21.90 | Publisher: Wiley | Release: 2018
Deep Learning with Applications Using Python 
by Navin Kumar Manaswi
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 Applications Using Python covers topics such as chatbots, natural language ...
Price: $39.99 | Publisher: Apress | Release: 2018
Practical Computer Vision Applications Using Deep Learning with CNNs
by 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-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in...
Price: $43.34 | Publisher: Apress | Release: 2018
by Reza Zadeh, Bharath Ramsundar
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 detecting objects in images, understanding human speech, analyzing ...
Price: $23.99 | Publisher: O'Reilly Media | Release: 2018
Natural Language Processing with TensorFlow
by Thushan Ganegedara
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 unstructured data in today's data streams, and apply these tools to speci...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Deep Learning with TensorFlow, 2nd Edition
by Giancarlo Zaccone, Md. Rezaul Karim
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 conceived for developers, data analysts, machine learning practitioners and...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Hands-On Transfer Learning with Python
by Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh
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 and examples. The second area of focus is real-world examples and res...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018
Python Reinforcement Learning Projects
by Sean Saito, Yang Wenzhuo, Rajalingappaa Shanmugamani
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 reinforcement learning algorithms. As you make your way through the book...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018
R Deep Learning Essentials, 2nd Edition
by Mark Hodnett, Joshua F. Wiley
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 book will introduce you to the basic principles of deep learning and tea...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Machine Learning Projects for Mobile Applications
by Karthikeyan NG
Machine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so.The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018