Neural Networks 6

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using PythonKey FeaturesA go-to guide to help you master AI algorithms and concepts8 real-world proje……続きを見る

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calcu……続きを見る

This book provides different mathematical frameworks for addressing supervised learning. It is based on a workshop held under the auspices of the Center for Nonlinear Studies at Los Alamos and the S……続きを見る

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of probl……続きを見る

Computational properties of use to biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equivalent components (or n……続きを見る

Based upon a conference held in May 1993, this book discusses the intersection of neurobiology, cognitive psychology and computational approaches to cognition. 続きを見る

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial I……続きを見る

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystemKey FeaturesBuild deep learning models with transfer learning prin……続きを見る

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow. Key FeaturesLearn how to implement advanced techniques in deep lea……続きを見る

Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with easeKey FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI……続きを見る

Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulatorKey FeaturesExpl……続きを見る

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearnKey FeaturesBuild a variety of Hidden Markov Models (HMM)Create and apply models to an……続きを見る

Este livro, dividido em dezessete capítulos, fornece um panorama histórico da ciência dos «computadores inteligentes». 続きを見る

This book, divided in seventeen chapters, provides a historical background of the science of « intelligent computers ». 続きを見る

I computer odierni sono così tanto intelligenti da essere più bravi di noi in una partita a scacchi o nel giocare ad un videogame. Ma essi sanno di essere così intelligenti? Hanno coscienza di sé e ……続きを見る

Foster your NLP applications with the help of deep learning, NLTK, and TensorFlowKey FeaturesWeave neural networks into linguistic applications across various platformsPerform NLP tasks and train it……続きを見る

Work through exciting projects to explore the capabilities of Go and Machine LearningKey FeaturesExplore ML tasks and Go’s machine learning ecosystemImplement clustering, regression, classification,……続きを見る

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handb……続きを見る

Leverage the power of Apple\\'s Core ML to create smart iOS appsKey Features\[\*\] Explore the concepts of machine learning and Apple’s Core ML APIs\[\*\] Use Core ML to understand and transform ima……続きを見る

Are you thinking of learning more about Machine Learning using R? The overall aim of this book is to give you an overview of the data science applications using R. Data science is the practice of tr……続きを見る

Be an adaptive thinker that leads the way to Artificial IntelligenceKey FeaturesAI-based examples to guide you in designing and implementing machine intelligenceDevelop your own method for future AI……続きを見る

Leverage the power of various Google Cloud AI Services by building a smart web application using MEAN StackKey FeaturesStart working with the Google Cloud Platform and the AI services it offersBuild……続きを見る

Are you thinking of learning more about Machine Learning using R? Deep learning is constantly being mentioned today, as organizations cross over their businesses attempts to discover how to utilize ……続きを見る

Bring magic to your mobile apps using TensorFlow Lite and Core MLKey FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to……続きを見る

Build and deploy powerful neural network models using the latest Java deep learning librariesKey Features\[\*\] Understand DL with Java by implementing real-world projects\[\*\] Master implementatio……続きを見る

Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologiesKey FeaturesLearn advanced concepts in Azure ML and the Cortana Intelligen……続きを見る

Get into the world of smart data security using machine learning algorithms and Python librariesKey FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workfl……続きを見る

Insightful projects to master deep learning and neural network architectures using Python and KerasKey FeaturesExplore deep learning across computer vision, natural language processing (NLP), and im……続きを見る

Ready to crank up a deep neural network to get your self-driving car pick up the kids from school? Want to add 'Deep Learning' to your LinkedIn profile? Well, hold on there... Before you embark on y……続きを見る

Skip the theory and get the most out of Tensorflow to build production-ready machine learning modelsKey FeaturesExploit the features of Tensorflow to build and deploy machine learning modelsTrain ne……続きを見る