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Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python by Santanu Pattanayak

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© Santanu Pattanayak 2017

Santanu Pattanayak, Pro Deep Learning with TensorFlow, https://doi.org/10.1007/978-1-4842-3096-1_3

3. Convolutional Neural Networks

Santanu Pattanayak

(1)Bangalore, Karnataka, India

Artificial neural networks have flourished in recent years in the processing of unstructured data, especially images, text, audio, and speech. Convolutional neural networks (CNNs) work best for such unstructured data. Whenever there is a topology associated with the data, convolutional neural networks do a good job of extracting the important features out of the data. From an architectural perspective, CNNs are inspired by multi-layer Perceptrons. By imposing local connectivity constraints between neurons of adjacent layers, CNN exploits local ...

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