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Convolutional Neural Networks (ConvNets)

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Abstract

In this chapter, we will discuss and understand the building blocks of a Convolutional Neural Network (ConvNet). In particular, we will learn

  • How to build a convolutional neural network.

  • How to apply convolutional neural networks on image data.

  • How to apply convolutional neural networks for image recognition.

  • Introduce the reader to neural style transfer to generate art.

The pooling operation used in convolutional neural networks is a big mistake, and the fact that it works so well is a disaster.

Geoffrey Hinton

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Notes

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    Downloaded from https://www.kaggle.com/c/dogs-vs-cats/data on Apr 02, 2018, 07:40 IST.

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Correspondence to Abhijit Ghatak .

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this chapter

Ghatak, A. (2019). Convolutional Neural Networks (ConvNets). In: Deep Learning with R. Springer, Singapore. https://doi.org/10.1007/978-981-13-5850-0_7

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  • DOI: https://doi.org/10.1007/978-981-13-5850-0_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5849-4

  • Online ISBN: 978-981-13-5850-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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