tiny_dnn  1.0.0
A header only, dependency-free deep learning framework in C++11
Class Index
A | B | C | D | E | F | G | H | I | L | M | N | O | P | Q | R | S | T | X
A
absolute (tiny_dnn)
absolute_eps (tiny_dnn)
adagrad (tiny_dnn)
adam (tiny_dnn)
alexnet (models)
aligned_allocator (tiny_dnn)
average_pooling_layer (tiny_dnn)
average_unpooling_layer (tiny_dnn)
avx_backend (tiny_dnn::core)
B
backend (tiny_dnn::core)
batch_normalization_layer (tiny_dnn)
blocked_range (tiny_dnn)
C
caffe_layer_vector (tiny_dnn::detail)
concat_layer (tiny_dnn)
connection_table (tiny_dnn::core)
constant (tiny_dnn::weight_init)
Conv2dGradOp (tiny_dnn)
Conv2dLibDNNBackwardOp (tiny_dnn)
Conv2dLibDNNForwardOp (tiny_dnn)
Conv2dOp (tiny_dnn)
Conv2dOpenCLBackwardOp (tiny_dnn)
Conv2dOpenCLForwardOp (tiny_dnn)
Conv2dPadding (tiny_dnn::core)
conv_layer_worker_specific_storage (tiny_dnn::core)
conv_params (tiny_dnn::core)
convolutional_layer (tiny_dnn)
cross_entropy (tiny_dnn)
cross_entropy_multiclass (tiny_dnn)
D
deconv_layer_worker_specific_storage (tiny_dnn::core)
deconv_params (tiny_dnn::core)
deconvolutional_layer (tiny_dnn)
deserialization_helper (tiny_dnn)
Device (tiny_dnn)
dnn_backend (tiny_dnn::core)
dropout_layer (tiny_dnn)
E
edge (tiny_dnn)
elementwise_add_layer (tiny_dnn)
elu (tiny_dnn::activation)
F
feedforward_layer (tiny_dnn)
foobar
fully_connected_layer (tiny_dnn)
fully_params (tiny_dnn::core)
FullyConnectedGradOp (tiny_dnn)
FullyConnectedOp (tiny_dnn)
function (tiny_dnn::activation)
function (tiny_dnn::weight_init)
G
gaussian (tiny_dnn::weight_init)
generic_vec_type (vectorize::detail)
gradient_descent (tiny_dnn)
graph (tiny_dnn)
graph_visualizer (tiny_dnn)
H
he (tiny_dnn::weight_init)
I
identity (tiny_dnn::activation)
image (tiny_dnn)
index3d (tiny_dnn)
input_layer (tiny_dnn)
L
layer (tiny_dnn)
layer_node (tiny_dnn::detail)
leaky_relu (tiny_dnn::activation)
lecun (tiny_dnn::weight_init)
linear_layer (tiny_dnn)
lrn_layer (tiny_dnn)
M
max_pooling_layer (tiny_dnn)
max_pooling_layer_worker_specific_storage (tiny_dnn::core)
max_unpooling_layer (tiny_dnn)
maxpool_params (tiny_dnn::core)
MaxPoolGradOp (tiny_dnn)
MaxPoolOp (tiny_dnn)
mnist_header (tiny_dnn::detail)
momentum (tiny_dnn)
mse (tiny_dnn)
N
network (tiny_dnn)
nn_error (tiny_dnn)
nn_info (tiny_dnn)
nn_not_implemented_error (tiny_dnn)
nn_warn (tiny_dnn)
nnp_backend (tiny_dnn::core)
node (tiny_dnn)
node_tuple (tiny_dnn)
nodes (tiny_dnn)
O
OpKernel (tiny_dnn::core)
OpKernelConstruction (tiny_dnn::core)
OpKernelContext (tiny_dnn::core)
OpKernelContext::OpParams (tiny_dnn::core)
optimizer (tiny_dnn)
P
Params (tiny_dnn::core)
partial_connected_layer (tiny_dnn)
power_layer (tiny_dnn)
Program (tiny_dnn)
ProgramHash (tiny_dnn)
ProgramManager (tiny_dnn)
progress_display (tiny_dnn)
Q
quantized_convolutional_layer (tiny_dnn)
quantized_deconvolutional_layer (tiny_dnn)
quantized_fully_connected_layer (tiny_dnn)
R
random_generator (tiny_dnn)
aligned_allocator::rebind (tiny_dnn)
relu (tiny_dnn::activation)
result (tiny_dnn)
RMSprop (tiny_dnn)
S
scalable (tiny_dnn::weight_init)
sequential (tiny_dnn)
serialization_helper (tiny_dnn)
session (tiny_dnn::core)
sigmoid (tiny_dnn::activation)
slice_layer (tiny_dnn)
softmax (tiny_dnn::activation)
stateful_optimizer (tiny_dnn)
T
tan_h (tiny_dnn::activation)
tan_hp1m2 (tiny_dnn::activation)
Tensor (tiny_dnn)
timer (tiny_dnn)
tiny_backend (tiny_dnn::core)
X
xavier (tiny_dnn::weight_init)