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Titlebook: Deep Learning and Practice with MindSpore; Lei Chen Book 2021 Tsinghua University Press 2021 Deep Learning.MindSpore.Deep Neural Networks

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發(fā)表于 2025-3-26 21:46:41 | 只看該作者
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發(fā)表于 2025-3-27 10:00:30 | 只看該作者
https://doi.org/10.1007/978-981-16-2233-5Deep Learning; MindSpore; Deep Neural Networks (DNNs); Convolutional Neural Networks (CNNs); Recurrent N
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發(fā)表于 2025-3-27 17:00:31 | 只看該作者
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Lei ChenIntroduces readers to deep learning models and algorithms in both theory and practice.Explores how deep learning methods can be used in various applications and their performance in this regard.Combin
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Cognitive Intelligence and Roboticshttp://image.papertrans.cn/d/image/264598.jpg
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發(fā)表于 2025-3-28 03:52:10 | 只看該作者
Models of Hypertext Structure and Learningrough this, we are then able to derive the concept of word vector or word embedding. Word vector, as its name implies, maps a word to a vector space, maximally retaining the original semantics of the word. In this important tool for understanding natural language, we can use a word vector as the sma
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發(fā)表于 2025-3-28 06:35:35 | 只看該作者
Designing Impedance Networks Converterseas such as social networks, recommendation systems, science, and NLP. As AI continues to gain popularity, a growing number of machine learning tasks need to analyze and process graph data. One effective method for graph analysis is to map a graph’s elements to a low-dimensional vector space while r
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