tiny_dnn  1.0.0
A header only, dependency-free deep learning framework in C++11
File List
Here is a list of all documented files with brief descriptions:
[detail level 1234]
  tiny_dnn
  activations
 activation_function.h
  core
  framework
  kernels
  params
 backend.h
 backend_avx.h
 backend_dnn.h
 backend_nnp.h
 backend_tiny.h
 session.h
  io
  caffe
 cifar10_parser.h
 display.h
 layer_factory.h
 mnist_parser.h
  layers
 arithmetic_layer.h
 average_pooling_layer.h
 average_unpooling_layer.h
 batch_normalization_layer.h
 concat_layer.h
 convolutional_layer.h
 deconvolutional_layer.h
 dropout_layer.h
 feedforward_layer.h
 fully_connected_layer.h
 input_layer.h
 layer.h
 layers.h
 linear_layer.h
 lrn_layer.h
 max_pooling_layer.h
 max_unpooling_layer.h
 partial_connected_layer.h
 power_layer.h
 quantized_convolutional_layer.h
 quantized_deconvolutional_layer.h
 quantized_fully_connected_layer.h
 slice_layer.h
  lossfunctions
 loss_function.h
  models
 alexnet.h
  optimizers
 optimizer.h
  util
 aligned_allocator.h
 colored_print.h
 deform.h
 deserialization_helper.h
 graph_visualizer.h
 image.h
 macro.h
 math_functions.h
 nn_error.h
 parallel_for.h
 product.h
 random.h
 serialization_helper.h
 serialization_layer_list.h
 target_cost.h
 util.h
 weight_init.h
 config.h
 network.h
 node.h
 nodes.h
 tiny_dnn.h