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Titlebook: Neural Networks and Deep Learning; A Textbook Charu C. Aggarwal Textbook 20181st edition Springer International Publishing AG, part of Spri

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書目名稱Neural Networks and Deep Learning
副標題A Textbook
編輯Charu C. Aggarwal
視頻videohttp://file.papertrans.cn/664/663704/663704.mp4
概述This book covers the theory and algorithms of deep learning and it provides detailed discussions of the relationships of neural networks with traditional machine learning algorithms..The mathematical
圖書封面Titlebook: Neural Networks and Deep Learning; A Textbook Charu C. Aggarwal Textbook 20181st edition Springer International Publishing AG, part of Spri
描述.This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book? is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered.?The chapters of this book span three categories:..The basics of neural networks: .?Many traditional machine learning models can be understood as special cases of neural networks.? An emphasis is placed in the first two chapters on understanding the relationship between traditio
出版日期Textbook 20181st edition
關鍵詞Deep Learning; Machine Learning; Radial Basis Function Networks; Restricted Boltzmann Machines; Recurren
版次1
doihttps://doi.org/10.1007/978-3-319-94463-0
isbn_softcover978-3-030-06856-1
isbn_ebook978-3-319-94463-0
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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An Introduction to Neural Networks,n axons and dendrites are referred to as .. These connections are illustrated in Figure?.(a). The strengths of synaptic connections often change in response to external stimuli. This change is how learning takes place in living organisms.
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Convolutional Neural Networks,al locations in an image often have similar color values of the individual pixels. An additional dimension captures the different colors, which creates a 3-dimensional input .. Therefore, the features in a convolutional neural network have dependencies among one another based on spatial distances.
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An Introduction to Neural Networks,system contains cells, which are referred to as .. The neurons are connected to one another with the use of . and ., and the connecting regions between axons and dendrites are referred to as .. These connections are illustrated in Figure?.(a). The strengths of synaptic connections often change in re
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Charu C. Aggarwalthe General Motors Research Laboratories on September 25-27, 1983. This was the 28th syposium in aseries which the Research Laboratories began sponsor- ing in 1957. Each symposium has focused on a topic that is both under active study at the Research Laboratories and is also of interest to the large
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