August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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Convolution
The convolution operation is a linear operation, represented by an asterisk, that merges two signals:
Two-dimensional convolutions are used in image processing to implement image filters, for example, to find a specific patch on an image or to find some feature in an image.
In CNNs, the convolutional layers filter an input tensor in a tile like fashion with a small window called a kernel. The kernel is what defines exactly the things a convolution operation is going to filter for and will produce a strong response when it finds what it’s looking for.
The following figure shows the result of convolving an image with a particular ...
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