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Titlebook: Convolutional Neural Networks with Swift for Tensorflow; Image Recognition an Brett Koonce Book 2021 Brett Koonce 2021 convolutional neural

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发表于 2025-3-21 17:19:35 | 显示全部楼层 |阅读模式
书目名称Convolutional Neural Networks with Swift for Tensorflow
副标题Image Recognition an
编辑Brett Koonce
视频videohttp://file.papertrans.cn/238/237882/237882.mp4
概述Task convolutional neural networks for image recognition.Apply Swift for Tensorflow throughout in order to learn the new framework by example.Hone the skills needed to tackle problems in the fields of
图书封面Titlebook: Convolutional Neural Networks with Swift for Tensorflow; Image Recognition an Brett Koonce Book 2021 Brett Koonce 2021 convolutional neural
描述.Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. .It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you‘ll perform data augmentation, build and train large networks, and build networks for mobile devices. You’ll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet.  ..Convolutional Neural Networks with Swift for Tensorflow .uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. .What You‘ll Learn.Categorize and augment datasets.Build and train large networks, including via cloud solutions.Deploy complex systems to mobile devices.Who This Book Is For.Developers with Swift programming experience who would like to learn convolutional neural networks by example using Swift
出版日期Book 2021
关键词convolutional neural networks; tensorflow; swift; machine learning; deep learning; google cloud
版次1
doihttps://doi.org/10.1007/978-1-4842-6168-2
isbn_softcover978-1-4842-6167-5
isbn_ebook978-1-4842-6168-2
copyrightBrett Koonce 2021
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发表于 2025-3-21 23:07:07 | 显示全部楼层
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Convolutional Neural Networks with Swift for TensorflowImage Recognition an
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Convolutional Neural Networks with Swift for Tensorflow978-1-4842-6168-2
发表于 2025-3-22 12:22:45 | 显示全部楼层
ResNet 34,apters, the difference between our 2D MNIST, CIFAR, and VGG networks is simply the number of blocks of 3x3 convolutions. Why stop at this point, though? Let‘s make even larger networks! Next, we‘re going to look at the ResNet family of networks, starting with ResNet 34.
发表于 2025-3-22 16:24:26 | 显示全部楼层
ResNet 50,r results to a ResNet 50 baseline, and it is valuable as a reference point. As well, we can easily download the weights for ResNet 50 networks that have been trained on the Imagenet dataset and modify the last layers (called **retraining** or **transfer learning**) to quickly produce models to tackl
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EfficientNet, going to look at different variants of the same basic idea of having the computer explore different neural network architectures for us. We will look at some of the research which builds up to our next neural network, EfficientNet, which was partially built using these techniques.
发表于 2025-3-23 06:52:05 | 显示全部楼层
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