dev-cpp/tiny-dnn: initial import

Signed-off-by: Alessandro Barbieri <lssndrbarbieri@gmail.com>

dev-cpp/tiny-dnn/metadata.xml

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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>
+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>