Abstract
A convolutional neural network (CNN) is a deep, feed-forward artificial neural network in which the neural network preserves the hierarchical structure by learning internal feature representations and generalizing the features in the common image problems such as object recognition and other computer vision problems. It is not restricted to images; it also receives state-of-the-art results in natural language processing problems and speech recognition.
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© 2018 Navin Kumar Manaswi
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Manaswi, N.K. (2018). Convolutional Neural Networks. In: Deep Learning with Applications Using Python . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3516-4_6
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DOI: https://doi.org/10.1007/978-1-4842-3516-4_6
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3515-7
Online ISBN: 978-1-4842-3516-4
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Keywords
- Convolutional Neural Network (CNN)
- Natural Language Processing Problems
- Layer Feed-forward Artificial Neural Network
- Computer Vision Problems
- Image Classification Challenge
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.