Abstract
It is safe to say that one of the most powerful supervised deep learning models is convolutional neural networks (abbreviated as CNN or ConvNet). CNN is a class of deep learning networks, mostly applied to image data. However, CNN structures can be used in a variety of real-world problems including, but not limited to, image recognition, natural language processing, video analysis, anomaly detection, drug discovery, health risk assessment, recommender systems, and time-series forecasting.
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© 2021 Orhan Gazi Yalçın
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Yalçın, O.G. (2021). Convolutional Neural Networks. In: Applied Neural Networks with TensorFlow 2. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6513-0_7
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DOI: https://doi.org/10.1007/978-1-4842-6513-0_7
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Publisher Name: Apress, Berkeley, CA
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