Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python

Antonio Gulli, Sujit Pal

This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of handwritten digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided.Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GANs). You will also explore non-traditional uses of neural networks as Style Transfer.Finally, you will look at reinforcement learning and its application to AI game playing, another popular direction of research and application of neural networks.

Tokenomics. The Crypto Shift of Blockchains, ICOs, and Tokens

Sean Au, Thomas Power(GBP)

Tokenomics is the economy of this new world. This is a no-holds-barred, in-depth exploration of the way in which we can participate in the blockchain economy. The reader will learn the basics of bitcoin, blockchains, and tokenomics; what the very first ICO was; and how over a period of 5 years, various projects managed to raise the enormous sums of money they did. The book then provides insights from ICO experts and looks at what the future holds. By comparing the past, current, and future of this technology, the book will inform anyone, whatever motivates their interest.The crypto shift of blockchains, ICOs, and tokens is much more than just buying bitcoins, creating tokens, or raising millions in a minute in an ICO. It is a new paradigm shift from centralized to decentralized, from closed to open, and from opaqueness to transparency. ICOs and the creation of tokens during the craze of 2017 needed a lot of preparation, an understanding of cryptocurrencies and of emerging legal frameworks, but this has spurred a new movement to tokenize the world.The author gives an unbiased, authoritative picture of the current playing field, exploring the token opportunities and provides a unique insight into the developing world of this tokenized economy. This book will nourish hungry minds wanting to grow their knowledge in this fascinating area.

Java EE 8 and Angular. A practical guide to building modern single-page applications with Angular and Java EE

Prashant Padmanabhan

The demand for modern and high performing web enterprise applications is growing rapidly. No more is a basic HTML frontend enough to meet customer demands. This book will be your one-stop guide to build outstanding enterprise web applications with Java EE and Angular. It will teach you how to harness the power of Java EE to build sturdy backends while applying Angular on the frontend. Your journey to building modern web enterprise applications starts here!The book starts with a brief introduction to the fundamentals of Java EE and all the new APIs offered in the latest release. Armed with the knowledge of Java EE 8, you will go over what it's like to build an end-to-end application, configure database connection for JPA, and build scalable microservices using RESTful APIs running in Docker containers. Taking advantage of the Payara Micro capabilities, you will build an Issue Management System, which will have various features exposed as services using the Java EE backend. With a detailed coverage of Angular fundamentals, the book will expand the Issue Management System by building a modern single page application frontend. Moving forward, you will learn to fit both the pieces together, that is, the frontend Angular application with the backend Java EE microservices. As each unit in a microservice promotes high cohesion, you will learn different ways in which independent units can be tested efficiently.Finishing off with concepts on securing your enterprise applications, this book is a handson guide for building modern web applications.

Embedded Systems Architecture. Explore architectural concepts, pragmatic design patterns, and best practices to produce robust systems

Daniele Lacamera

Embedded systems are self-contained devices with a dedicated purpose. We come across a variety of fields of applications for embedded systems in industries such as automotive, telecommunications, healthcare and consumer electronics, just to name a few.Embedded Systems Architecture begins with a bird's eye view of embedded development and how it differs from the other systems that you may be familiar with. You will first be guided to set up an optimal development environment, then move on to software tools and methodologies to improve the work flow. You will explore the boot-up mechanisms and the memory management strategies typical of a real-time embedded system. Through the analysis of the programming interface of the reference microcontroller, you'll look at the implementation of the features and the device drivers. Next, you'll learn about the techniques used to reduce power consumption. Then you will be introduced to the technologies, protocols and security aspects related to integrating the system into IoT solutions.By the end of the book, you will have explored various aspects of embedded architecture, including task synchronization in a multi-threading environment, and the safety models adopted by modern real-time operating systems.

CCNA Routing and Switching 200-125 Certification Guide. The ultimate solution for passing the CCNA certification and boosting your networking career

Lazaro (Laz) Diaz

Cisco Certified Network Associate (CCNA) Routing and Switching is one of the most important qualifications for keeping your networking skills up to date. CCNA Routing and Switching 200-125 Certification Guide covers topics included in the latest CCNA exam, along with review and practice questions. This guide introduces you to the structure of IPv4 and IPv6 addresses and examines in detail the creation of IP networks and sub-networks and how to assign addresses in the network. You will then move on to understanding how to configure, verify, and troubleshoot layer 2 and layer 3 protocols. In addition to this, you will discover the functionality, configuration, and troubleshooting of DHCPv4. Combined with router and router simulation practice, this certification guide will help you cover everything you need to know in order to pass the CCNA Routing and Switching 200-125 exam.By the end of this book, you will explore security best practices, as well as get familiar with the protocols that a network administrator can use to monitor the network.

Android Things Projects. Efficiently build IoT projects with Android Things

Francesco Azzola

Android Things makes developing connected embedded devices easy by providing the same Android development tools, best-in-class Android framework, and Google APIs that make developers successful on mobile.With this book, you will be able to take advantage of the new Android framework APIs to securely build projects using low-level components such as sensors, resistors, capacitors, and display controllers. This book will teach you all you need to know about working with Android Things through practical projects based on home automation, robotics, IoT, and so on. We’ll teach you to make the most of the Android Things and build enticing projects such as a smart greenhouse that controls the climate and environment automatically. You’ll also create an alarm system, integrate Android Things with IoT cloud platforms, and more. By the end of this book, you will know everything about Android Things, and you’ll have built some very cool projects using the latest technology that is driving the adoption of IoT. You will also have primed your mindset so that you can use your knowledge for profitable, practical projects.

R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet

PKS Prakash, Achyutuni Sri Krishna Rao

Deep Learning is the next big thing. It is a part of machine learning. It's favorable results in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians. This book will help you to get through the problems that you face during the execution of different tasks and Understand hacks in deep learning, neural networks, and advanced machine learning techniques. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance.By the end of the book, you will have a logical understanding of Deep learning and different deep learning packages to have the most appropriate solutions for your problems.

Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition

Armando Fandango, Ivan Idris

Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis.The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries.