The Best Neural Network Audiobooks of All Time

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.

Are you looking to get a better understanding of neural networks and their applications? Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex, non-linear relationships and are used in forecasting, image processing and character recognition. Here's What's Included In this Book:. What are Artificial Neural Networks?

Fundamentals of Neural NetworksActivation ParadigmsLearning ParadigmsMultilayer PerceptronPractical Application - Text RecognitionPractical Application - Image ProcessingProblems with Neural Networks.

If you want to learn about Neural Networks then keep reading... Aladdin from "The Arabian Nights" had a magic lamp that fulfilled his every wish when rubbed. Today we have a smartphone that serves as a window to a whole universe of knowledge, entertainment and even wise personal assistants, such as Siri - all we have to do is rub the screen. Aladdin's lamp was powered by a genie, but what powers Siri? Neural networks. It's an astounding concept that tries to mimic the way living brains work by amalgamating human and machine ways of thinking.

The goal of this book is to present the reader with a digestible, readable explanation of neural networks while keeping the underlying concepts intact. The reader will acquire fundamental knowledge of neural networks through loosely related chapters that nonetheless reference terms and ideas mentioned throughout the book. The book itself isn't meant to be strictly academic, but a blend of colloquial and technical that brings this exciting, yet eerie, topic to the widest swath of the general public. There is a lot of coding and math behind neural networks, but the reader is presumed to have no prior knowledge or interest in either, so the concepts are broken down and elaborated on as such. Each chapter is made as standalone as possible to allow the reader to skip back and forth without getting lost, with the glossary at the very end serving as a handy summary. Where possible, references have been included to support the presented conclusions and encourage the reader to scrutinize the traditional media in search of clues. Neural Networks: An Essential Beginners Guide to Artificial Neural Networks and their Role in Machine Learning and Artificial Intelligence cover topics such as:. Programming a smart(er) computerCompositionGiving neural networks legs to stand onThe magnificent wetwarePersonal assistantsTracking users in the real worldSelf-driving neural networksTaking everyone's jobQuantum leap in computingAttacks on neural networksNeural network warGhost in the machineNo backlashAnd Much, Much MoreSo if you want to learn about Neural Networks without having to go through heavy textbooks, click "add to cart"!