Get to grips with the essentials of deep learning by leveraging the power of PythonKey FeaturesYour one-stop solution to get started with the essentials of deep learning and neural network modelingTrain different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and moreCovers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deployin...

Nanotechnology has attracted billions of dollars in venture capital from research institutes, governments, and industries in recent years. Traditional nanofabrication techniques such as CVD, sol–gel, and self-assembly have been intensively studied. However, the electrochemical nanofabrication technique, which offers huge benefits for manufacturing nanomaterials as well as broad applications in industries, has not been given much attention compared with the traditional nanofabrication metho...

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust statistical models, built for a range of datasets...

Get to grips with the basics of Keras to implement fast and efficient deep-learning modelsKey FeaturesImplement various deep learning algorithms in Keras and see how deep learning can be used in gamesSee how various deep learning models and practical use-cases can be implemented using KerasA practical, hands-on guide with real-world examples to give you a strong foundation in KerasBook DescriptionThis book starts by introduci...

Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach...

As one of the most widely used desktop applications ever created, Excel is familiar to just about everyone with a computer and a keyboard. Yet most of us don't know the full extent of what Excel can do, mostly because of its recent growth in power, versatility, and complexity. The truth is that there are many ways Excel can help make your job easier-beyond calculating sums and averages in a standard spreadsheet.Analyzing Business Data with Excel shows you how to solve real...

Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR’s current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user’s everyday experiences. In this book, Dr. Helen Papagiannis—a world-leading expert in the field—introduces you to AR: how it’s evolving, where the opportunities are, and where it’s headed.If you’re a designer, developer, entrepreneur, student, educator, business lead...

Android game apps are typically the most popular type of Android apps in the various Google Play, Amazon Appstore and other Android app stores. So, beyond the Android game tutorials out there, what about a day-to-day handy and complete code reference for Android game developers?Android Game Recipes is your first, reliable game coding reference for today's Android game apps. This book provides easy to follow real world game code problems and solutions, including source code...

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x Key FeaturesSkill up and implement tricky neural networks using Google's TensorFlow 1.xAn easy-to-follow guide that lets you explore reinforcement learning, GANs, autoencoders, multilayer perceptrons and more.Hands-on recipes to work with Tensorflow on desktop, mobile, and cloud environmentBook DescriptionDeep neural networ...

Build, process, and analyze large-scale graphs with SparkKey FeaturesBook DescriptionApache Spark is the next standard of open-source cluster-computing engine for processing big data. Many practical computing problems concern large graphs, like the Web graph and various social networks. The scale of these graphs - in some cases billions of vertices, trillions of edges - poses challenges to their efficient processing. Apache Spark GraphX API combines th...

If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless of your level of experience, this book covers the basics of applying R to machine learning through to advanced techniques. While it is helpful if you are familiar with basic programming or machine learning concepts, you do not require prior experience to benefit from this book.

Build and run intelligent applications by leveraging key Java machine learning librariesAbout This BookDevelop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries.Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applicationsThis step-by-step guide will help you solve real-world prob...