Abstract
Convolutional Neural Networks are neural networks with convolution layers which perform operations similar to image processing filters. Convolutional Neural Networks are applied in a variety of tasks related to images such as image classification, object detection, and semantic segmentation. Popular Network architectures include ResNet, GoogleNet, and VGG. These networks are often trained on very large datasets, can be downloaded in Keras and Tensorflow, and can be later used for finetuning on other tasks.
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Teoh, T.T., Rong, Z. (2022). Convolutional Neural Networks. In: Artificial Intelligence with Python. Machine Learning: Foundations, Methodologies, and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-16-8615-3_16
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DOI: https://doi.org/10.1007/978-981-16-8615-3_16
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