tiny-dnn-1.0.0a3-noarch-1cf.txz


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Description

tiny-dnn - header only, dependency-free deep learning framework

Property Value
Distribution Slackware Current
Repository Slackers x86_64
Package filename tiny-dnn-1.0.0a3-noarch-1cf.txz
Package name tiny-dnn
Package version 1.0.0a3
Package release 1cf
Package architecture noarch
Package type txz
Homepage -
License -
Maintainer -
Download size 116.00 KB
Installed size 1.02 MB
tiny-dnn is a C++14 implementation of deep learning. It is suitable
for deep learning on limited computational resource, embedded
systems and IoT devices.

Alternatives

Package Version Architecture Repository
tiny-dnn - - -

Download

Type URL
Mirror slack.conraid.net
Binary Package tiny-dnn-1.0.0a3-noarch-1cf.txz
Source Package -

Install Howto

  1. Download tiny-dnn-1.0.0a3-noarch-1cf.txz
  2. Install tiny-dnn txz package:
    # upgradepkg --install-new tiny-dnn-1.0.0a3-noarch-1cf.txz

Files

Path
/install/slack-desc
/usr/
/usr/doc/
/usr/doc/tiny-dnn-1.0.0a3/AUTHORS
/usr/doc/tiny-dnn-1.0.0a3/LICENSE
/usr/doc/tiny-dnn-1.0.0a3/README.md
/usr/doc/tiny-dnn-1.0.0a3/tiny-dnn.SlackBuild
/usr/include/
/usr/include/tiny_dnn/config.h
/usr/include/tiny_dnn/network.h
/usr/include/tiny_dnn/node.h
/usr/include/tiny_dnn/nodes.h
/usr/include/tiny_dnn/tiny_dnn.h
/usr/include/tiny_dnn/activations/activation_function.h
/usr/include/tiny_dnn/core/backend.h
/usr/include/tiny_dnn/core/backend_avx.h
/usr/include/tiny_dnn/core/backend_dnn.h
/usr/include/tiny_dnn/core/backend_nnp.h
/usr/include/tiny_dnn/core/backend_tiny.h
/usr/include/tiny_dnn/core/session.h
/usr/include/tiny_dnn/core/framework/device.fwd.h
/usr/include/tiny_dnn/core/framework/device.h
/usr/include/tiny_dnn/core/framework/op_kernel.h
/usr/include/tiny_dnn/core/framework/program.h
/usr/include/tiny_dnn/core/framework/program_manager.h
/usr/include/tiny_dnn/core/framework/tensor.h
/usr/include/tiny_dnn/core/kernels/avx_deconv2d_back_kernel.h
/usr/include/tiny_dnn/core/kernels/avx_deconv2d_kernel.h
/usr/include/tiny_dnn/core/kernels/avx_kernel_common.h
/usr/include/tiny_dnn/core/kernels/conv2d_grad_op.h
/usr/include/tiny_dnn/core/kernels/conv2d_grad_op_avx.h
/usr/include/tiny_dnn/core/kernels/conv2d_op.h
/usr/include/tiny_dnn/core/kernels/conv2d_op_avx.h
/usr/include/tiny_dnn/core/kernels/conv2d_op_internal.h
/usr/include/tiny_dnn/core/kernels/conv2d_op_libdnn.h
/usr/include/tiny_dnn/core/kernels/conv2d_op_nnpack.h
/usr/include/tiny_dnn/core/kernels/conv2d_op_opencl.h
/usr/include/tiny_dnn/core/kernels/fully_connected_grad_op.h
/usr/include/tiny_dnn/core/kernels/fully_connected_op.h
/usr/include/tiny_dnn/core/kernels/fully_connected_op_avx.h
/usr/include/tiny_dnn/core/kernels/fully_connected_op_internal.h
/usr/include/tiny_dnn/core/kernels/fully_connected_op_nnpack.h
/usr/include/tiny_dnn/core/kernels/maxpool_grad_op.h
/usr/include/tiny_dnn/core/kernels/maxpool_op.h
/usr/include/tiny_dnn/core/kernels/maxpool_op_avx.h
/usr/include/tiny_dnn/core/kernels/maxpool_op_internal.h
/usr/include/tiny_dnn/core/kernels/maxpool_op_nnpack.h
/usr/include/tiny_dnn/core/kernels/nnp_deconv2d_kernel.h
/usr/include/tiny_dnn/core/kernels/tiny_deconv2d_back_kernel.h
/usr/include/tiny_dnn/core/kernels/tiny_deconv2d_kernel.h
/usr/include/tiny_dnn/core/kernels/tiny_quantization_kernel.h
/usr/include/tiny_dnn/core/kernels/tiny_quantized_conv2d_kernel.h
/usr/include/tiny_dnn/core/kernels/tiny_quantized_deconv2d_kernel.h
/usr/include/tiny_dnn/core/kernels/tiny_quantized_fully_connected_kernel.h
/usr/include/tiny_dnn/core/kernels/tiny_quantized_matmul_kernel.h
/usr/include/tiny_dnn/core/params/conv_params.h
/usr/include/tiny_dnn/core/params/deconv_params.h
/usr/include/tiny_dnn/core/params/fully_params.h
/usr/include/tiny_dnn/core/params/maxpool_params.h
/usr/include/tiny_dnn/core/params/params.h
/usr/include/tiny_dnn/io/cifar10_parser.h
/usr/include/tiny_dnn/io/display.h
/usr/include/tiny_dnn/io/layer_factory.h
/usr/include/tiny_dnn/io/mnist_parser.h
/usr/include/tiny_dnn/io/caffe/caffe.proto
/usr/include/tiny_dnn/io/caffe/layer_factory.h
/usr/include/tiny_dnn/io/caffe/layer_factory_impl.h
/usr/include/tiny_dnn/layers/arithmetic_layer.h
/usr/include/tiny_dnn/layers/average_pooling_layer.h
/usr/include/tiny_dnn/layers/average_unpooling_layer.h
/usr/include/tiny_dnn/layers/batch_normalization_layer.h
/usr/include/tiny_dnn/layers/concat_layer.h
/usr/include/tiny_dnn/layers/convolutional_layer.h
/usr/include/tiny_dnn/layers/deconvolutional_layer.h
/usr/include/tiny_dnn/layers/dropout_layer.h
/usr/include/tiny_dnn/layers/feedforward_layer.h
/usr/include/tiny_dnn/layers/fully_connected_layer.h
/usr/include/tiny_dnn/layers/input_layer.h
/usr/include/tiny_dnn/layers/layer.h
/usr/include/tiny_dnn/layers/layers.h
/usr/include/tiny_dnn/layers/linear_layer.h
/usr/include/tiny_dnn/layers/lrn_layer.h
/usr/include/tiny_dnn/layers/max_pooling_layer.h
/usr/include/tiny_dnn/layers/max_unpooling_layer.h
/usr/include/tiny_dnn/layers/partial_connected_layer.h
/usr/include/tiny_dnn/layers/power_layer.h
/usr/include/tiny_dnn/layers/quantized_convolutional_layer.h
/usr/include/tiny_dnn/layers/quantized_deconvolutional_layer.h
/usr/include/tiny_dnn/layers/quantized_fully_connected_layer.h
/usr/include/tiny_dnn/layers/slice_layer.h
/usr/include/tiny_dnn/lossfunctions/loss_function.h
/usr/include/tiny_dnn/models/alexnet.h
/usr/include/tiny_dnn/optimizers/optimizer.h
/usr/include/tiny_dnn/util/aligned_allocator.h
/usr/include/tiny_dnn/util/colored_print.h
/usr/include/tiny_dnn/util/deform.h
/usr/include/tiny_dnn/util/deserialization_helper.h
/usr/include/tiny_dnn/util/graph_visualizer.h
/usr/include/tiny_dnn/util/image.h
/usr/include/tiny_dnn/util/macro.h
/usr/include/tiny_dnn/util/math_functions.h
/usr/include/tiny_dnn/util/nn_error.h
/usr/include/tiny_dnn/util/parallel_for.h
/usr/include/tiny_dnn/util/product.h
/usr/include/tiny_dnn/util/random.h
/usr/include/tiny_dnn/util/serialization_helper.h
/usr/include/tiny_dnn/util/serialization_layer_list.h
/usr/include/tiny_dnn/util/target_cost.h
/usr/include/tiny_dnn/util/util.h
/usr/include/tiny_dnn/util/weight_init.h
/usr/share/
/usr/share/TinyDNN/FindNNPACK.cmake
/usr/share/TinyDNN/FindTBB.cmake
/usr/share/TinyDNN/tinydnn-config-version.cmake
/usr/share/TinyDNN/tinydnn-config.cmake
/usr/share/TinyDNN/tinydnn-targets.cmake

See Also

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tunctl-1.5-x86_64-8cf.txz tool for controlling the TUN/TAP driver in Linux
tweepy-3.8.0-x86_64-1cf.txz Twitter python library
twitter-1.18.0-x86_64-3cf.txz Python Twitter API and command-line toolset
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udiskie-1.7.7-x86_64-1cf.txz Removable disk automounter for udisks
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