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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="person">
<email>lssndrbarbieri@gmail.com</email>
<name>Alessandro Barbieri</name>
</maintainer>
<longdescription lang="en">
Features
Reasonably fast, without GPU:
With TBB threading and SSE/AVX vectorization.
98.8% accuracy on MNIST in 13 minutes training (@Core i7-3520M).
Portable and header-only:
Runs anywhere as long as you have a compiler which supports C++14.
Just include tiny_dnn.h and write your model in C++. There is nothing to install.
Easy to integrate with real applications:
No output to stdout/stderr.
A constant throughput (simple parallelization model, no garbage collection).
Works without throwing an exception.
Can import caffe's model.
Simply implemented:
A good library for learning neural networks.
Supported networks
layer-types
core
fully connected
dropout
linear operation
zero padding
power
convolution
convolutional
average pooling
max pooling
deconvolutional
average unpooling
max unpooling
normalization
contrast normalization (only forward pass)
batch normalization
split/merge
concat
slice
elementwise-add
activation functions
tanh
asinh
sigmoid
softmax
softplus
softsign
rectified linear(relu)
leaky relu
identity
scaled tanh
exponential linear units(elu)
scaled exponential linear units (selu)
loss functions
cross-entropy
mean squared error
mean absolute error
mean absolute error with epsilon range
optimization algorithms
stochastic gradient descent (with/without L2 normalization)
momentum and Nesterov momentum
adagrad
rmsprop
adam
adamax
</longdescription>
<use>
<flag name="double-precision">Build tiny-dnn with double precision computations</flag>
<!--<flag name="libdnn">Build tiny-dnn with GreenteaLibDNN library support</flag>-->
<!--<flag name="nnpack">Build tiny-dnn with NNPACK library support</flag>-->
<flag name="opencl">Build tiny-dnn with OpenCL library support</flag>
<flag name="serialization">Build tiny-dnn with Serialization support</flag>
<flag name="tbb">Build tiny-dnn with TBB library support</flag>
</use>
<upstream>
<remote-id type="github">tiny-dnn/tiny-dnn</remote-id>
</upstream>
</pkgmetadata>
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