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Caffe

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We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Caffe.
Covers the fundamentals of deep learning, including using the Caffe framework for image classification, object detection, and natural language processing.
Covers advanced topics in deep learning, such as recurrent neural networks, convolutional neural networks, and generative adversarial networks. It also provides a detailed overview of Caffe's architecture and how to use it to train and deploy deep learning models.
Provides a comprehensive overview of deep learning, with a focus on using Python. It covers the basics of deep learning, as well as how to use popular deep learning frameworks such as Caffe.
Covers deep learning in Scala. Includes a chapter on using Caffe for image classification and object detection.
Provides a collection of recipes for training and deploying deep learning models with Caffe. It covers a wide range of topics, from basic tasks to advanced techniques.
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