by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more abou...
Price: $37.99 | Publisher: Apress | Release: 2018
Deep Learning for Natural Language Processing 
by Palash Goyal, Sumit Pandey, Karan Jain
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 practical examples. The first three chapters of the book cover t...
Price: $31.93 | Publisher: Apress | Release: 2018
Deep Belief Nets in C++ and CUDA C: Volume 3
by Timothy Masters
Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a thought process that is capable of learning abstract concepts built from simpler primitives. These models are especially useful for image processing a...
Price: $34.99 | Publisher: Apress | Release: 2018
by Umberto Michelucci
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 how to perform linear and logistic regression using TensorFlow, a...
Price: $22.50 | Publisher: Apress | Release: 2018
Block Trace Analysis and Storage System Optimization
by Jun Xu
Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy).In the n...
Price: $31.32 | Publisher: Apress | Release: 2018
Modern X86 Assembly Language Programming, 2nd Edition
by Daniel Kusswurm
Gain the fundamentals of x86 64-bit assembly language programming and focus on the updated aspects of the x86 instruction set that are most relevant to application software development. This book covers topics including x86 64-bit programming and Advanced Vector Extensions (AVX) programming.The focus in this second edition is exclusively on 64-bit base programming architecture and AVX programming. Modern X8...
Price: $24.27 | 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
Practical Quantum Computing for Developers
by Vladimir Silva
Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers discusses quantum computing in the cloud using IBM Q Experience including: the composer, quantum scores, experimen...
Price: $28.70 | Publisher: Apress | Release: 2018
Introduction to Machine Learning with R
by Scott Burger
Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.Finally, you'...
Price: $41.65 | Publisher: O'Reilly Media | Release: 2018
Natural Language Processing with PyTorch
by Delip Rao, Goku Mohandas
Natural Language Processing (NLP) offers unbounded opportunities for solving interesting problems in artificial intelligence, making it the latest frontier for developing intelligent, deep learning-based applications. If you're a developer or researcher ready to dive deeper into this rapidly growing area of artificial intelligence, this practical book shows you how to use the PyTorch deep learning fram...
Price: $57.99 | Publisher: O'Reilly Media | Release: 2018