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 research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples.

Линдси Стирлинг (Lindsey Stirling) - американская скрипачка, актриса, танцовщица и композитор, которая продолжает и развивает славные традиции Ванессы Мэй и квартета Bond.
Линдси называет себя "хип-хоп скрипачкой". Артистка очень популярна в интернете.
"Warmer in the Winter" - четвёртый лонгплей в карьере исполнительницы.
Вообще-то этот альбом в октябре прошлого года вышел, но в архиве гораздо более свежее издание - версия Deluxe Edition.
Подарочное издание пластинки было дополнено пятью бонус-треками.
Помимо каверов пластинка содержит три оригинальных композиции, написанных самой Линдси.
Альбом вышел на лейбле Concord Records.
Дата релиза восемнадцатое октября 2018-го.

There has been a rapid increase in the use of javascript in hardware and embedded device programming. javascript has an effective set of frameworks and libraries that support the robotics ecosystem. Hands-On Robotics with javascript starts with setting up an environment to program robots in javascript. Then, you will dive into building basic-level projects such as a line-following robot. You will walk through a series of projects that will teach you about the Johnny-Five library, and develop your skills with each project.

Reinforcement learning has evolved a lot in the last couple of years and proven to be a successful technique in building smart and intelligent AI networks. Keras Reinforcement Learning Projects installs human-level performance into your applications using algorithms and techniques of reinforcement learning, coupled with Keras, a faster experimental library.The book begins with getting you up and running with the concepts of reinforcement learning using Keras. You'll learn how to simulate a random walk using Markov chains and select the best portfolio using dynamic programming (DP) and Python.

It’s becoming more and more apparent that security is a critical aspect of IT infrastructure. A data breach is a major security incident, usually carried out by just hacking a simple network line. Increasing your network’s security helps step up your defenses against cyber attacks. Meanwhile, Python is being used for increasingly advanced tasks, with the latest update introducing many new packages. This book focuses on leveraging these updated packages to build a secure network with the help of Python scripting.

Network scanning is the process of assessing a network to identify an active host network; same methods can be used by an attacker or network administrator for security assessment. This procedure plays a vital role in risk assessment programs or while preparing a security plan for your organization. Practical Network Scanning starts with the concept of network scanning and how organizations can benefit from it. Then, going forward, we delve into the different scanning steps, such as service detection, firewall detection, TCP/IP port detection, and OS detection.

MQTT is a lightweight messaging protocol for small sensors and mobile devices. This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python. The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. You will use different utilities and diagrams to understand the most important concepts related to MQTT.

Java 11 is a long-term release and its new features add to the richness of the language. It emphasizes variable-type inference, performance improvements, along with simplified multithreading. The Java platform has a special emphasis on modularity, making this the programming platform of choice for millions of developers. The modern Java platform can be used to build robust software applications, including enterprise-level and mobile applications. Fully updated for Java 11, this book stands to help any Java developer enjoy the richness of the Java programming language.

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, you'll work on projects with datasets of various modalities including image, text, and video.

Office 365 is suite of advanced collaboration tools used by many well known organizations and their system administrators. This book starts with an introduction to Office 365 and its basic fundamentals. Then we move towards workload management and deployment. You will delve into identities, authentications, and managing office 365. We also cover concepts such as collaboration with Microsoft teams and tools such as Delve and Skype for collaboration. Towards the end of the book, you'll master monitoring and security concepts. By the end of this book, you will have hands-on experience working with Office 365 and its collaboration tools and services.