-
Depthwise separable convolution separates the
standard convolution into two steps:
depthwise convolution and
pointwise convolution. The
depthwise separable...
-
Representations (ICLR).
Chollet is the
author of Xception: Deep
Learning with
Depthwise Separable Convolutions,
which is
among the top ten most
cited papers in...
- ("Extreme Inception") was
published in 2017. It is a
linear stack of
depthwise separable convolution layers with
residual connections. The
design was...
- and
model size. The
depthwise separable convolution decomposes a
single standard convolution into two convolutions: a
depthwise convolution that filters...
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Retrieved 2016-09-18. Chollet, François (2016). "Xception: Deep
Learning with
Depthwise Separable Convolutions". arXiv:1610.02357. "Keras backends". keras.io...
-
replaced by
depthwise separable convolutional layers,
which are
based on a
depthwise convolution followed by a
pointwise convolution. The
depthwise convolution...
-
these operations include variations of
convolutions (1/2/3D, Atrous,
depthwise),
activation functions (Softmax, RELU, GELU, Sigmoid, etc.) and their...
- CA1 (only CA3 and CA1 are labeled). The CA
regions are also
structured depthwise in
clearly defined strata (or layers):
Stratum oriens (str. oriens) is...
