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PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
Author Pradeepta Mishra
Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code.You'll start b....
Release Date 2022/12 -
Artificial Intelligence and Machine Learning in Industry
Author David Beyer
The growth of businesses centered on artificial intelligence and machine learning make it clear: automation will fundamentally reshape industry and society. But this will only happen after a broader sweep and scrutiny of AI and its economic, social, and political i....
Release Date 2017/03 -
Author Giuseppe Bonaccorso
Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideAbout This BookGet started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.Your one-s....
Release Date 2017/07 -
Getting Started with TensorFlow
Author Giancarlo Zaccone
Get up and running with the latest numerical computing library by Google and dive deeper into your data!About This BookGet the first book on the market that shows you the key aspects TensorFlow, how it works, and how to use it for the second generation of machine l....
Release Date 2016/07 -
Mastering Machine Learning with scikit-learn - Second Edition
Author Gavin Hackeling
Use scikit-learn to apply machine learning to real-world problemsAbout This BookMaster popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networksLearn how to build and eva....
Release Date 2017/07 -
Author Madhur Bhargava
Get up and running with the fundamentals of Amazon Alexa and build exciting IoT projectsAbout This BookGain hands-on experience of working with Amazon Echo and AlexaBuild exciting IoT projects using Amazon EchoLearn about voice-enabled smart devicesWho This Book Is....
Release Date 2018/06 -
Hands-On Machine Learning with C++
Author Kirill Kolodiazhnyi
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasetsKey FeaturesBecome familiar with data processing, performance measuri....
Release Date 2020/05 -
PyTorch Computer Vision Cookbook
Author Michael Avendi
Discover powerful ways to use deep learning algorithms and solve real-world computer vision problems using PythonKey FeaturesSolve the trickiest of problems in computer vision by combining the power of deep learning and neural networks Leverage PyTorch 1.x capabilities t....
Release Date 2020/03 -
Mastering Regular Expressions, 3rd Edition
Author Jeffrey E.F. Friedl
Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Perl, Python, Ruby, Java, VB.NET and C# (and any language using the .NET Framework), PHP, and ....
Release Date 2006/08 -
Regular Expressions Cookbook, 2nd Edition
Author Steven Levithan , Jan Goyvaerts
Take the guesswork out of using regular expressions. With more than 140 practical recipes, this cookbook provides everything you need to solve a wide range of real-world problems. Novices will learn basic skills and tools, and programmers and experienced users will ....
Release Date 2012/08 -
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Author 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 activatio....
Release Date 2018/09 -
Author Kevin Ashley
Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other industries. Accompanied by practical step-by-step Python code samples and Jupyter notebooks, this comprehensive guide acts as a referenc....
Release Date 2020/08 -
Natural Language Processing with Spark NLP
Author Alex Thomas
If you want to build an enterprise-quality application that uses natural language text, but aren’t sure where to begin or what tools to use, this practical guide will help get you started. You’ll explore special concerns for developing text-based applications, such....
Release Date 2020/02 -
Building Intelligent Apps with Cognitive APIs
Author Chris Hoder , Anand Raman
Until recently, training and deploying AI models required months of development and a deep understanding of machine learning. No longer. With cognitive APIs, you can infuse your apps, websites, and bots with intelligence using just a few simple lines of code. This ....
Release Date 2020/02 -
Python: Deeper Insights into Machine Learning
Author John Hearty , David Julian , Sebastian Raschka
Leverage benefits of machine learning techniques using Python.About This BookImprove and optimise machine learning systems using effective strategies.Develop a strategy to deal with a large amount of data.Use of Python code for implementing a range of machine learn....
Release Date 2016/08 -
TensorFlow 1.x Deep Learning Cookbook
Author Amita Kapoor , Antonio Gulli
Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.xAbout This BookSkill up and implement tricky neural networks using Google's TensorFlow 1.xAn easy-to-follow guide that lets you explore reinforcement learning, G....
Release Date 2017/12 -
Hands-On Generative Adversarial Networks with PyTorch 1.x
Author Greg Walters , John Hany
Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network modelsKey FeaturesImplement GAN architectures to generate images, text, audio, 3D models, and more Understand how GANs work and become an active contrib....
Release Date 2019/12 -
The Unsupervised Learning Workshop
Author Aaron Jones , Christopher Kruger , Benjamin Johnston
Learning how to apply unsupervised algorithms on unlabeled datasets from scratch can be easier than you thought with this beginner's workshop, featuring interesting examples and activitiesKey FeaturesGet familiar with the ecosystem of unsupervised algorithms Learn inter....
Release Date 2020/07 -
Author Ellen Friedman , Ted Dunning , Robin Anil , Sean Owen
SummaryMahout in Action is a hands-on introduction to machine learning with Apache Mahout. Following real-world examples, the book presents practical use cases and then illustrates how Mahout can be applied to solve them. Includes free access to audio and video clip....
Release Date 2011/10 -
Author Jane Barrett , Camilla Arnold
The world of work is changing dramatically. Jobs for life have long been a thing of the past and even as people move up the corporate ladder, they are questioning their choices and keen to consider new possibilities such as work/life balance and portfolio working. T....
Release Date 2010/09 -
Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python
Author Manisha Biswas , Abhishek Nandy
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning....
Release Date 2017/12 -
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 -
Practical Artificial Intelligence in the Cloud
Author Mike Barlow
Only a couple of years ago, artificial intelligence was a cliché, a sad remnant of 1950s-style futurism. Today it’s sexy again, and that far-off future of intelligent bots is just around the corner. Consider the latest trend, AI-as-a-Service (AIaaS). Software vendo....
Release Date 2016/11 -
Author Dean Wampler
The use of distributed programming is increasing. High availability requires multiple machines and often multiple data centers. Machine learning and AI models are run as parallel tasks on clusters to reduce training time. But distributed programming has always been hard t....
Release Date 2020/09 -
Hands-On Machine Learning with C#
Author Matt R. Cole
Explore supervised and unsupervised learning techniques and add smart features to your applicationsAbout This BookLeverage machine learning techniques to build real-world applicationsUse the Accord.NET machine learning framework for reinforcement learningImplement ....
Release Date 2018/05 -
Hands-On Deep Learning for Images with TensorFlow
Author Will Ballard
Explore TensorFlow's capabilities to perform efficient deep learning on imagesKey FeaturesDiscover image processing for machine vision Build an effective image classification system using the power of CNNs Leverage TensorFlow's capabilities to perform efficient d....
Release Date 2018/07 -
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 Machine Learning with R
Author Dr. Sunil Kumar Chinnamgari , Cory Lesmeister
Master an array of machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languagesKey FeaturesGain expertise in machine learning, deep learning, and predictive modeling techniques Build intelligent end-to-end p....
Release Date 2019/05 -
Even If AI Can Cure Loneliness — Should It?
Author Gregory Unruh , David Kiron
AI devices that help stimulate psychological and physiological human connection are serving a population whose loneliness is at an all-time high, but they also raise societal concerns. And while it seems productive to solve technology-based loneliness with further ....
Release Date 2019/01 -
Practical Computer Vision with SimpleCV
Author Katherine Scott , Nathan Oostendorp , Anthony Oliver , Kurt Demaagd
Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, process....
Release Date 2012/08