| KS OmniScriptum Publishing

158,620원  | 20250422  | 9786208441296

This book provides a comprehensive exploration of deep learning, starting with the basics of neural networks, including the perceptron algorithm and key techniques like feed-forward and backpropagation, optimization, and regularization. It delves into deep learning foundations, covering important concepts such as gradient descent, backpropagation, and solutions for challenges like the vanishing gradient problem.

 | Springer Nature B.V.

70,480원  | 20230127  | 9783031241062

The work will be a reanalysis and reconceptualization of the concept of apraxia. Apraxia is currently understood as a motor speech disorder but an analysis of the neural network properties of apraxia indicate a more complex and far reaching disorder with implications for intentionality, motor coordination and motor control of response inhibition in a variety of human behavioral and emotional reactions.

 | Our Knowledge Publishing

88,120원  | 20240713  | 9786207745067

In this book we briefly address the theoretical foundation of neural networks, from the basic principles of how a neuron works and its similarity with the biological part, in which we explain its axons (inputs), the weights of the inputs, the bias, the neuron body, the activation function and the axon output function.

 | IGI Global

378,930원  | 20250529  | 9798337307367

Emerging trends such as explainable artificial intelligence (XAI), few-shot learning, and neural architecture search (NAS) push the boundaries of current neural networks. These cutting-edge networks are transforming the design and efficiency in modern applications, including computer vision, natural language processing (NLP), and autonomous systems.

 | IGI Global

449,430원  | 20250529  | 9798337307350

Emerging trends such as explainable artificial intelligence (XAI), few-shot learning, and neural architecture search (NAS) push the boundaries of current neural networks. These cutting-edge networks are transforming the design and efficiency in modern applications, including computer vision, natural language processing (NLP), and autonomous systems.

Sapuan, S. M.  | Taylor & Francis

384,750원  | 20210101  | 9781420093322

Offers an understanding of the various applications of artificial neural networks (ANN) in working with and improving composite material technology. This title provides a review of the literature and then presents the research on neural network approaches for defect detection in various composite materials.

 | Springer Nature B.V.

70,480원  | 20221002  | 9783031164019

This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are Banach space valued. These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian, and generalized symmetric sigmoid functions. Ordinary, fractional, fuzzy, and stochastic approximations are exhibited at the univariate, fractional, and multivariate levels.

 | LAP Lambert Academic Publishing

151,570원  | 20240930  | 9786208064341

Artificial Intelligence (AI) driven by neural networks is crucial in many applications like recommendation systems, language translation, social media, chatbots, and spell-checking etc. However, these networks are often criticized for being "black boxes," raising concerns about their explainability, especially in sensitive domains like healthcare, autonomous driving etc. Existing methods to enhance explainability, such as feature importance, often lack clarity and interpretability.

 | KS OmniScriptum Publishing

111,030원  | 20121116  | 9783659301841

Artificial Neural Network is perhaps most widely used Intelligent tool.There are various features of ANN;which makes it very efficient and it became an integral part in the field of artificial intelligence.One of the important application of ANN is time series prediction.ANN has the ability to predict various non linear parameters.The use of ANN for the Chaotic Time Series prediction is demonstrated in this book.

 | KS OmniScriptum Publishing

125,130원  | 20120724  | 9783846531976

The issue of fair valuation of real estate has been a major challenge in many countries. However, in recent times a number of techniques and models have been introduced to promote fair valuation of housing units. It is in the light of the above, that this work developed, trained and applied three artificial neural network breadboards to evaluate over 3000 residential real estate transactions from two major cities in Nigeria.

Rashid, Tariq  | Createspace Independent Publishing Platform

70,700원  | 20160331  | 9781530826605

A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

 | Springer

87,210원  | 20240919  | 9783031381355

Various number systems (conventional/unconventional) exploited for DNNs are discussed, including Floating Point (FP), Fixed Point (FXP), Logarithmic Number System (LNS), Residue Number System (RNS), Block Floating Point Number System (BFP), Dynamic Fixed-Point Number System (DFXP) and Posit Number System (PNS).

 | LAP Lambert Academic Publishing

167,430원  | 20240912  | 9786208117054

This monograph is devoted to the neural network methods for monitoring dynamic objects during the development of operating mode (using the example of helicopter turboshaft engines in flight operation mode). The variants of neural network monitoring methods have been developed depending on the operating modes. A method for optimising the object operating parameters for further operation has been developed.

 | Orange Education Pvt Ltd

70,410원  | 20231104  | 9789391246549

Master Neural Networks for Building Modern AI Systems.DESCRIPTIONThis book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries.Throughout the chapters, readers are engaged with the book through practice exercises, and supplementary learnings.

Poznyak, Tatyana, Chairez Oria, Jorge Isaac, Poznyak, Alex  | Elsevier Science

285,520원  | 20181111  | 9780128128473

On her own in this mysterious, deadly place, surrounded by darkness and the unknown, Gyre must overcome more than just the dangerous terrain and the Tunneler which calls underground its home if she wants to make it out alive-she must confront the ghosts in her own head.