数字图像处理及应用:使用MATLAB分析与实现
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MATLAB Deep Learning [PDF,2017] 评分:
Phil Kim, "MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence" English | ISBN: 1484228448 | 2017 | 151 pages | PDF | 4 MB Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep learning Discover neural networks and multi-layer neural networks Work with convolution and pooling layers Build a MNIST example with these layers Who This Book Is For Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.
上传时间:2017-06 大小:3.64MB
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数字图像处理及应用-陈天华教学资源.rar
2021-01-11数字图像处理及应用-陈天华教学资源.rar
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MATLAB工具箱-深度学习matlab工具箱.rar
2023-08-21最实用的MATLAB工具箱整理,用于项目编程更加方块快捷,需要的小伙伴可按需下载,大部分MATLAB资源浩二都有,可以搜索下载。
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深度学习MATLAB工具包-DeepLearnToolbox-master.zip
2022-05-09DeepLearnToolbox-master.zip 深度学习MATLAB工具包 DeepLearnToolbox ================ A Matlab toolbox for Deep Learning. Deep Learning is a new subfield of machine learning that focuses on learning deep hierarchical models of data. It is inspired by the human brain's apparent deep (layered, hierarchical) architecture. A good overview of the theory of Deep Learning theory is [Learning Deep Architectures for AI](http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf) For a more informal introductio
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基于Matlab实现的深度学习算法
2022-04-24基于Matlab实现的深度学习算法
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Deep Learning 经典文章与代码(matlab)
2014-07-22有深度学习中必读经典,以及相应的matlab代码。 此外,文章中本人做的笔记,希望能帮助大家更好的理解。 文章为:1.A fast learning algorithm for deep belief nets(Hinton) 2. Learning Deep Architectures for AI (Bengio) 3. A Practical Guide to Training Restricted Boltzmann Machines(Hinton) 等。。 code 为经典的deep learning tool(matlab版),有DBN,NN,CNN,etc。
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Matlab Deep Learning ebook Phil Kim
2018-01-25内含pdf 和epub两种格式电子书籍 MATLAB Deep Learning:With Machine Learning, Neural Networks and Artificial Intelligence
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MATLAB深度学习_PDF+源程序.zip
2019-07-19MATLAB深度学习,原版电子书,带标签,附带源程序,内容可复制粘贴做笔记
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Matlab deep learning
2018-07-10这是一本简单易懂的matlab与深度学习的好书,非常适合初学者。
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MATLAB Deep Learning With Machine Learning, Neural Networks and 无水印pdf
2017-09-27MATLAB Deep Learning With Machine Learning, Neural Networks and Artificial Intelligence 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系...
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Deep Learning Toolbox Importer for TensorFlow-Keras Models支持包Matlab参考页.pdf
2020-03-26这是matlab的工具包Deep Learning Toolbox Importer for TensorFlow-Keras Models 的参考页,讲解了如何将tensorflow的模型在matlab中使用
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Phil Kim-2017Matlab_DeepLearning电子书
2018-01-16Phil Kim-2017Matlab_DeepLearning 电子书和配套代码,非常适合初学者
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2019-11-26matlab官方中文进行深度学习指导说明书,讲述了整个搭建过程及基本的概念逻辑等,图文并茂,讲述的比较详细
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Matlab-Deep Learning Toolbox
2019-04-08Deep Learning Toolbox™提供了一个框架,用于设计和实现具有算法,预训练模型和应用程序的深度神经网络。您可以使用卷积神经网络(ConvNets,CNN)和长期短期记忆(LSTM)网络对图像,时间序列和文本数据进行分类和回归。应用程序和图表可帮助您可视化激活,编辑网络体系结构以及监控培训进度。 对于小型训练集,您可以使用预训练的深层网络模型(包括SqueezeNet,Inception-v3,ResNet-101,GoogLeNet和VGG-19)以及从TensorFlow™-Keras和Caffe导入的模型执行传输学习。 了解深度学习工具箱的基础知识 深度学习图像 从头开始训练卷积神经网络或使用预训练网络快速学习新任务 使用时间序列,序列和文本进行深度学习 为时间序列分类,回归和预测任务创建和训练网络 深度学习调整和可视化 绘制培训进度,评估准确性,进行预测,调整培训选项以及可视化网络学习的功能 并行和云中的深度学习 通过本地或云中的多个GPU扩展深度学习,并以交互方式或批量作业培训多个网络 深度学习应用 通过计算机视觉,图像处理,自动驾驶,信号和音频扩展深度学习工作流程 深度学习导入,导出和自定义 导入和导出网络,定义自定义深度学习图层以及自定义数据存储 深度学习代码生成 生成MATLAB代码或CUDA ®和C ++代码和部署深学习网络 函数逼近和聚类 使用浅层神经网络执行回归,分类和聚类 时间序列和控制系统 基于浅网络的模型非线性动态系统; 使用顺序数据进行预测。
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2018-03-03This book is written for two kinds of readers. The first type of reader is one who plans to study Deep Learning in a systematic approach for further research and development. This reader should read all the content from the beginning to end. The example code will be especially helpful for further understanding the concepts. A good deal of effort has been made to construct adequate examples and implement them. The code examples are constructed to be easy to read and understand. They are written in MATLAB for better legibility. There is no better programming language than MATLAB at being able to handle the matrices of Deep Learning in a simple and intuitive manner. The example code uses only basic functions and grammar, so that even those who are not familiar with MATLAB can easily understand the concepts. For those who are familiar with programming, the example code may be easier to understand than the text of this book. The other kind of reader is one who wants more in-depth information about Deep Learning than what can be obtained from magazines or newspapers, yet doesn’t want to study formally. These readers can skip the example code and briefly go over the explanations of the concepts. Such readers may especially want to skip the learning rules of the neural network.
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2018-05-14Deep Leaming stems from Machine Leaming. This implies that if you want to understand the essence of Deep Leaming, you have to know the philosophy behind Machine Leaming to some extent.
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2017-10-15[Theano](http://deeplearning.net/software/theano/), [torch](http://torch.ch/) or [tensorflow](http://www.tensorflow.org/) I would suggest you use one of the tools mentioned above rather than use ...
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2019-02-24基于MATLAB的深度学习简介,介绍了通过MATLAB进行深度学习
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2021-03-25Apress源代码 该存储库伴随着Michael Paluszek和Stephanie Thomas的《 (Apress,2019)。 使用绿色按钮将文件下载为zip格式,或使用Git将存储库克隆到您的计算机上。 发行版 版本v1.0对应于已出版书籍中的代码,...
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