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8.4. Multi-Branch Networks (GoogLeNet) — Dive into Deep Learning 1.0.3 documentation
d2l.ai
lear distinction among the stem (data ingest), body (data processing), and head (prediction) global average pooling layer to change the height and width of each channel to 1, Max-pooling between inception blocks reduces the dimensionality. reducing the model’s complexity first two or three convoluti
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lear distinction among the stem (data ingest), body (data processing), and head (prediction)
global average pooling layer to change the height and width of each channel to 1,
Max-pooling between inception blocks reduces the dimensionality.
reducing the model’s complexity
first two or three convolutions that operate on the image.
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