package neural_nets_lib
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A from-scratch Deep Learning framework with an optimizing compiler, shape inference, concise syntax
Install
dune-project
Dependency
Authors
Maintainers
Sources
0.6.1.2.tar.gz
md5=529f0921963a6eee0194159a9c0fea41
sha512=fc16e8b6cd72cb2ae18277b3727d065fa6c1d137e3187f9586fb0bfe7edeb45597cb58f389e79c20d7e3ae80661e6f9f20e0b95dcbbf27ee5688bcc571d395dd
doc/neural_nets_lib.datasets/Datasets/Mnist/index.html
Module Datasets.MnistSource
Source
val read_images :
Config.t ->
string ->
(int, Bigarray.int8_unsigned_elt, Bigarray.c_layout) Bigarray.Genarray.tSource
val read_labels :
Config.t ->
string ->
(int, Bigarray.int8_unsigned_elt, Bigarray.c_layout) Bigarray.Genarray.tSource
val load :
fashion_mnist:bool ->
((int, Bigarray.int8_unsigned_elt, Bigarray.c_layout) Bigarray.Genarray.t
* (int, Bigarray.int8_unsigned_elt, Bigarray.c_layout) Bigarray.Genarray.t)
* ((int, Bigarray.int8_unsigned_elt, Bigarray.c_layout) Bigarray.Genarray.t
* (int, Bigarray.int8_unsigned_elt, Bigarray.c_layout) Bigarray.Genarray.t) sectionYPositions = computeSectionYPositions($el), 10)"
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