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Author Swarna Gupta , Rehan Ali Ansari , Dipayan Sarkar
Tackle the complex challenges faced while building end-to-end deep learning models using modern R librariesKey FeaturesUnderstand the intricacies of R deep learning packages to perform a range of deep learning tasks Implement deep learning techniques and algorithms for r....
Release Date 2020/02 -
Deep Learning with R for Beginners
Author Mark Hodnett , Joshua F. Wiley , Yuxi Liu
Explore the world of neural networks by building powerful deep learning models using the R ecosystemKey FeaturesGet to grips with the fundamentals of deep learning and neural networks Use R 3.5 and its libraries and APIs to build deep learning models for computer vision ....
Release Date 2019/05 -
Deep Learning with R, Second Edition
Author Tomasz Kalinowski , Sigrid Keydana , J.J. Allaire , Francois Chollet
Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principlesImage classification and image segmentationTime series forecastingText classification and machine translationText generation, neural....
Release Date 2022/10 -
Deep Learning with Structured Data
Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you’ll learn how easy it is to set up tabular data for deep learning, while solvi.... -
Author Ahmed Menshawy , Md. Rezaul Karim , Giancarlo Zaccone
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guideAbout This BookLearn how to implement advanced techniques in deep learning with Google's brainchild, TensorFl....
Release Date 2017/04 -
Deep Learning with TensorFlow - Second Edition
Author Md. Rezaul Karim , Giancarlo Zaccone
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.About This BookLearn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlowExplore deep neural ne....
Release Date 2018/03 -
Deep Learning with TensorFlow 2 and Keras - Second Edition
Author Antonio Gulli , Amita Kapoor , Sujit Pal
Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the start Teaches key machine and deep learning techniques Understand....
Release Date 2019/12 -
Deep Learning with TensorFlow and Keras - Third Edition
Author Amita Kapoor , Antonio Gulli , Sujit Pal , François Chollet
Build cutting edge machine and deep learning systems for the lab, production, and mobile devicesKey FeaturesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and Tens....
Release Date 2022/10 -
Deep Learning: Practical Neural Networks with Java
Author Alan M. F. Souza , Fábio M. Soares , Boštjan Kaluža , Yusuke Sugomori
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,....
Release Date 2017/06 -
Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
Author Yunis Ahmad Lone , Himanshu Singh
Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python.You’ll start by walking....
Release Date 2019/11 -
Deep Reinforcement Learning Hands-On
Author Maxim Lapan
This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.About This BookExplore deep reinforcement learning (RL), from the first principles to the latest algorithmsEvaluate high-profile RL methods, including value ....
Release Date 2018/06 -
Deep Reinforcement Learning Hands-On - Second Edition
Author Maxim Lapan
New edition of the bestselling guide to deep reinforcement learning and how it's used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Fea....
Release Date 2020/01 -
Deep Reinforcement Learning in Action
Author Brandon Brown , Alexander Zai
Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you’ll master foundational and advanced DRL techniques by taking on interesting challenges lik....
Release Date 2020/03 -
Deep Reinforcement Learning in Unity: With Unity ML Toolkit
Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and.... -
Deep Reinforcement Learning with Python - Second Edition
An example-rich guide for beginners to start their reinforcement and deep reinforcement learning journey with state-of-the-art distinct algorithmsKey FeaturesCovers a vast spectrum of basic-to-advanced RL algorithms with mathematical explanations of each algorithmLearn how to implement algorithms wi.... -
Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise.You'll begi.... -
Democratizing Artificial Intelligence with UiPath
Author Fanny Ip , Jeremiah Crowley , Tom Torlone
Build an end-to-end business solution in the cognitive automation lifecycle and explore UiPath Document Understanding, UiPath AI Center, and DruidKey FeaturesExplore out-of-the-box (OOTB) AI Models in UiPathLearn how to deploy, manage, and continuously improve machine learning models using UiPath AI....
Release Date 2022/04 -
Demystifying Azure AI : Implementing the Right AI Features for Your Business
Author Kasam Shaikh
Explore artificial intelligence offerings by Microsoft Azure, along with its other services. This book will help you implement AI features in various Azure services to help build your organization and customers.The book starts by introducing you to the Azure Cogniti....
Release Date 2020/08 -
Author Eberhard Hechler , Martin Oberhofer , Thomas Schaeck
Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI’s capabilities, potential, limitations, and challenges....
Release Date 2020/09 -
Design of Modern Communication Networks
Author Christofer Larsson
Design of Modern Communication Networks focuses on methods and algorithms related to the design of communication networks, using optimization, graph theory, probability theory and simulation techniques. The book discusses the nature and complexity of the network des....
Release Date 2014/03 -
Design, Deployment and Performance of 4G-LTE Networks: A Practical Approach
Author Mahmoud Sherif , Mohamed El-saidny , Ayman ElNashar
This book provides an insight into the key practical aspects and best practice of 4G-LTE network design, performance, and deploymentDesign, Deployment and Performance of 4G-LTE Networks addresses the key practical aspects and best practice of 4G networks design, per....
Release Date 2014/05 -
Designing AI Systems With Human-Machine Teams
Author Maria Jesus Saenz , Elena Revilla , Cristina Simón
Bringing together the formal rationality of AI and the substantive rationality of humans can help companies meet their goals and optimize the chances of success. However, before designing AI systems, managers need to assess the openness of the decision-making process and ....
Release Date 2020/03 -
Author Amir Shevat
From Facebook Messenger to Kik, and from Slack bots to Google Assistant, Amazon Alexa, and email bots, the new conversational apps are revolutionizing the way we interact with software. This practical guide shows you how to design and build great conversational exp....
Release Date 2017/05 -
Author Jeremy Howard , Mike Loukides , Margit Zwemer
In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the ne....
Release Date 2012/03 -
Designing Human-Centric AI Experiences: Applied UX Design for Artificial Intelligence
Author Akshay Kore
User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX design’s role in making technologies inclusive and enabling u....
Release Date 2022/08 -
Designing Machine Learning Systems
Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be .... -
Detecting Fake News on Social Media
Author Kai Shu , Huan Liu , Jiawei Han , Lise Ge
In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost.However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake new....
Release Date 2019/07 -
Developing and Executing Your Vision
Author MIT Sloan Management Review
Leaders have to be strategists, negotiators, and visionaries. This collection of articles from MIT Sloan Management Review looks at the particular challenges of keeping an organization’s vision on track across business units when there’s dissent among t....
Release Date 2018/07 -
Author Ritesh Modi , Srikanth Machiraju
Develop Intelligent Bots using Microsoft Bot framework (C# and Node.js), Visual Studio Enterprise & Code, MicrosoftAzure and Cognitive Services. This book shows you how to develop great Bots, publish to Azure and register with Bot portal so that customers canco....
Release Date 2017/12