Neural Networks

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262545617Author Keith L. DowningFormat PaperbackPage Count 224Imprint MIT PressPublisher MIT Press Ltd

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...

This book serves as a comprehensive step-by-step guide on data analysis and statistical analysis. It covers fundamental operations in Excel, such as table components, formula bar, and ribbon, and introduces visualization techniques and PDE derivation...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789388511612Author Giancarlo ZacconeFormat PaperbackPage Count 280Imprint BPB PublicationsPublisher BPB PublicationsWeight(grams) 485gDimensions(mm) 235mm *...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780956372826Author James V StoneFormat HardbackPage Count 218Imprint Sebtel PressPublisher Sebtel PressWeight(grams) 463gDimensions(mm) 229mm * 152mm * 14mm

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features Train your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine...

Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCV Key Features Build and train powerful neural network models to build an autonomous car Implement computer...

Create and unleash the power of neural networks by implementing C# and .Net codeKey FeaturesGet a strong foundation of neural networks with access to various machine learning and deep learning librariesReal-world case studies illustrating various neural...

Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projectsKey FeaturesUse machine learning and deep learning principles to build real-world projectsGet to grips with...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781647481216Author Neil WilkinsFormat HardbackPage Count 118Imprint Bravex PublicationsPublisher Bravex PublicationsWeight(grams) 331gDimensions(mm) 229mm *...

Boost your AI and generative AI accuracy using real-world datasets with over 150 functional object-oriented methods and open source libraries Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore beautiful, customized...

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations,...

Simplify next-generation deep learning by implementing powerful generative models using Python, TensorFlow and Keras Key Features Understand the common architecture of different types of GANs Train, optimize, and deploy GAN applications using TensorFlow...

While neuroscientists garner success in identifying brain regions and in analyzing individual neurons, ground is still being broken at the intermediate scale of understanding how neurons combine to encode information. This book proposes a method of...

IJCNN is the flagship conference of the INNS, as well as the IEEE Neural Networks Society. It has arguably been the preeminent conference in the field, even as neural network conferences have proliferated and specialized. As the number of conferences has...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781734601688Author Lance EliotFormat PaperbackPage Count 268Imprint Lbe Press PublishingPublisher Lbe Press PublishingWeight(grams) 395g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9798223575238Author Michael FergusonFormat PaperbackPage Count 94Imprint Michael FergusonPublisher Michael FergusonWeight(grams) 127g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789815238204Author Silky GoelFormat PaperbackPage Count 214Imprint Bentham Science PublishersPublisher Bentham Science PublishersWeight(grams) 522g

In this groundbreaking work, computer scientists Leslie G. Valiant details a promising new computational approach to studying the intricate workings of the brain. Focusing on the brain's enigmatic ability to quickly access a massive store of accumulated...

This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory,...

Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing. Key Features Clear and concise...

Since the invention of computers and other similar machines, scientists and researchers have been trying very hard to enhance their capabilities to perform various tasks. As a result, the capabilities of computers are growing exponentially day by day in...

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks Key Features Understand the foundations of meta learning algorithms Explore practical...

Artificial Neural Networks in Real-Life Applications offers an outlook on the most recent works in the field of artificial neural networks (ANN). It includes theoretical developments of the ANN area and applications of these systems, using intelligent...

Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem-solving techniques inspired by nature. This book covers the...

Implement popular deep learning techniques to make your IoT applications smarter Key Features Understand how deep learning facilitates fast and accurate analytics in IoT Build intelligent voice and speech recognition apps in TensorFlow and Chainer...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789533076850Author Hubert CardotFormat HardbackPage Count 116Imprint In TechPublisher In TechWeight(grams) 390g

Create end-to-end systems that can power robots with artificial vision and deep learning techniques Key Features Study ROS, the main development framework for robotics, in detail Learn all about convolutional neural networks, recurrent neural networks,...

Two of the most important factors contributing to national and international economy are processing of information for accurate financial forecasting and decision making as well as processing of information for efficient control of manufacturing systems...

Implement neural network architectures by building them from scratch for multiple real-world applications. Key Features From scratch, build multiple neural network architectures such as CNN, RNN, LSTM in Keras Discover tips and tricks for designing a...

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get 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...

Build and train scalable neural network models on various platforms by leveraging the power of Caffe2 Key Features Migrate models trained with other deep learning frameworks on Caffe2 Integrate Caffe2 with Android or iOS and implement deep learning...

This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural...

Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative discipline,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788197950483Author Anais SutherlandFormat PaperbackPage Count 176Imprint GitforgitsPublisher GitforgitsWeight(grams) 313g

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781836547358Author Yeeshtdevisingh HosaneeFormat PaperbackPage Count 30Imprint Independent Publishing NetworkPublisher Independent Publishing...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781922301321Author John SlavioFormat HardbackPage Count 114Imprint John SlavioPublisher John SlavioWeight(grams) 290g

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set...

The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 146 papers presented in the...