docs/tutorial/layers - BVLC/caffe

BVLC / caffe UNCLAIMED

Caffe: a fast open framework for deep learning.

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	absval.md	792 B
	accuracy.md	864 B
	argmax.md	700 B
	batchnorm.md	890 B
	batchreindex.md	682 B
	bias.md	816 B
	bnll.md	823 B
	clip.md	822 B
	concat.md	1.5 KB
	contrastiveloss.md	969 B
	convolution.md	3.1 KB
	crop.md	817 B
	data.md	1.0 KB
	deconvolution.md	938 B
	dropout.md	856 B
	dummydata.md	742 B
	eltwise.md	856 B
	elu.md	1024 B
	embed.md	829 B
	euclideanloss.md	865 B
	exp.md	858 B
	filter.md	628 B
	flatten.md	849 B
	hdf5data.md	877 B
	hdf5output.md	1.1 KB
	hingeloss.md	749 B
	im2col.md	708 B
	imagedata.md	1.0 KB
	infogainloss.md	1.0 KB
	innerproduct.md	2.1 KB
	input.md	690 B
	log.md	800 B
	lrn.md	1.9 KB
	lstm.md	995 B
	memorydata.md	1.2 KB
	multinomiallogisticloss.md	842 B
	mvn.md	863 B
	parameter.md	822 B
	pooling.md	1.9 KB
	power.md	1.3 KB
	prelu.md	829 B
	python.md	1019 B
	recurrent.md	881 B
	reduction.md	881 B
	relu.md	1.6 KB
	reshape.md	2.3 KB
	rnn.md	685 B
	scale.md	829 B
	sigmoid.md	1.2 KB
	sigmoidcrossentropyloss.md	784 B
	silence.md	668 B
	slice.md	1.5 KB
	softmax.md	914 B
	softmaxwithloss.md	1.4 KB
	split.md	769 B
	spp.md	708 B
	tanh.md	699 B
	threshold.md	754 B
	tile.md	816 B
	windowdata.md	731 B