February 2019
Intermediate to advanced
260 pages
6h 3m
English
Content preview from Hands-On Java Deep Learning for Computer Vision
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Working with convolutional layers' parameters
We'll see how to increase the dimension of the output matrix by using padding, and how to greatly decrease it through use of the stride. You will recall from the previous section, that we're convolving a 6 x 6 x 3 input image with 3 x 3 filters, which gives us a 4 x 4 x 1 matrix output:
And as you may have guessed, these output dimensions can be described by a math formula, and that formula appears as follows:
In this equation, IM is just the input matrix dimension, OM is the output matrix dimension, ...
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