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github.com/Dobiasd/frugally-deep
/ types & classes
Types & classes
108 in github.com/Dobiasd/frugally-deep
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Functions
625
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Types & classes
108
↓ 145 callers
Class
tensor_pos
include/fdeep/tensor_pos.hpp:18
↓ 100 callers
Class
tensor_shape
include/fdeep/tensor_shape.hpp:24
↓ 71 callers
Class
tensor
include/fdeep/tensor.hpp:28
↓ 18 callers
Class
shape2
include/fdeep/shape2.hpp:18
↓ 11 callers
Class
shape3
include/fdeep/shape3.hpp:18
↓ 9 callers
Class
filter
include/fdeep/filter.hpp:21
↓ 6 callers
Class
range
include/fdeep/layers/adaptive_pooling_3d_layer.hpp:43
↓ 6 callers
Class
tensor_shape_variable
include/fdeep/tensor_shape_variable.hpp:20
↓ 2 callers
Class
dense_layer
Takes a single stack volume (tensor_shape(n)) as input.
include/fdeep/layers/dense_layer.hpp:22
↓ 2 callers
Class
node
include/fdeep/node.hpp:60
↓ 2 callers
Class
node_connection
include/fdeep/node.hpp:32
↓ 1 callers
Class
CopiedLayer
keras_export/convert_model.py:812
↓ 1 callers
Class
json_data_strs_char_prodiver
Make sure data outlives instances of this this fascade class.
include/fdeep/base64.hpp:19
↓ 1 callers
Class
layer
include/fdeep/node.hpp:53
Class
activation_layer
Abstract base class for actication layers https://en.wikipedia.org/wiki/Activation_function
include/fdeep/layers/activation_layer.hpp:24
Class
activation_layer
include/fdeep/layers/layer.hpp:27
Class
adaptive_pooling_3d_layer
include/fdeep/layers/adaptive_pooling_3d_layer.hpp:24
Enum
adaptive_pooling_kind
include/fdeep/layers/adaptive_pooling_3d_layer.hpp:19
Class
add_layer
include/fdeep/layers/add_layer.hpp:16
Class
additive_attention_layer
include/fdeep/layers/additive_attention_layer.hpp:17
Class
attention_layer
include/fdeep/layers/attention_layer.hpp:17
Class
average_layer
include/fdeep/layers/average_layer.hpp:16
Class
average_pooling_3d_layer
include/fdeep/layers/average_pooling_3d_layer.hpp:44
Class
batch_normalization_layer
https://kratzert.github.io/2016/02/12/understanding-the-gradient-flow-through-the-batch-normalization-layer.html https://stackoverflow.com/a/46444452/
include/fdeep/layers/batch_normalization_layer.hpp:18
Class
bidirectional_layer
include/fdeep/layers/bidirectional_layer.hpp:17
Class
category_encoding_layer
include/fdeep/layers/category_encoding_layer.hpp:17
Class
celu_layer
include/fdeep/layers/celu_layer.hpp:16
Class
centercrop_layer
include/fdeep/layers/centercrop_layer.hpp:16
Class
concatenate_layer
include/fdeep/layers/concatenate_layer.hpp:16
Class
conv_2d_layer
include/fdeep/layers/conv_2d_layer.hpp:24
Class
conv_2d_transpose_layer
include/fdeep/layers/conv_2d_transpose_layer.hpp:24
Class
conv_3d_layer
include/fdeep/layers/conv_3d_layer.hpp:24
Class
conv_3d_transpose_layer
include/fdeep/layers/conv_3d_transpose_layer.hpp:24
Class
conv_lstm_2d_layer
Handles ConvLSTM1D and ConvLSTM2D. ConvLSTM1D dispatches here with rank_ = 1 and the input/recurrent kernels reshaped to height = 1.
include/fdeep/layers/conv_lstm_2d_layer.hpp:21
Class
conv_lstm_3d_layer
include/fdeep/layers/conv_lstm_3d_layer.hpp:19
Class
convolution3d_config
include/fdeep/convolution3d.hpp:23
Class
convolution3d_filter_matrices
include/fdeep/convolution3d.hpp:136
Class
convolution_config
include/fdeep/convolution.hpp:311
Class
convolution_filter_matrices
include/fdeep/convolution.hpp:21
Class
cropping_3d_layer
include/fdeep/layers/cropping_3d_layer.hpp:16
Class
depthwise_conv_2d_layer
Convolve depth slices separately.
include/fdeep/layers/depthwise_conv_2d_layer.hpp:26
Class
discretization_layer
include/fdeep/layers/discretization_layer.hpp:18
Class
dot_layer
include/fdeep/layers/dot_layer.hpp:16
Class
einsum_dense_layer
include/fdeep/layers/einsum_dense_layer.hpp:18
Class
elu_layer
include/fdeep/layers/elu_layer.hpp:16
Class
embedding_layer
include/fdeep/layers/embedding_layer.hpp:17
Class
exponential_layer
include/fdeep/layers/exponential_layer.hpp:18
Class
flatten_layer
Converts a volume into single column volume (tensor_shape(n)).
include/fdeep/layers/flatten_layer.hpp:17
Class
gelu_layer
include/fdeep/layers/gelu_layer.hpp:18
Class
global_average_pooling_3d_layer
include/fdeep/layers/global_average_pooling_3d_layer.hpp:16
Class
global_max_pooling_3d_layer
include/fdeep/layers/global_max_pooling_3d_layer.hpp:18
Class
global_pooling_layer
Abstract base class for global pooling layers
include/fdeep/layers/global_pooling_layer.hpp:22
Class
group_normalization_layer
include/fdeep/layers/group_normalization_layer.hpp:18
Class
group_query_attention_layer
include/fdeep/layers/group_query_attention_layer.hpp:19
Class
gru_layer
include/fdeep/layers/gru_layer.hpp:17
Class
hard_shrink_layer
include/fdeep/layers/hard_shrink_layer.hpp:17
Class
hard_sigmoid_layer
include/fdeep/layers/hard_sigmoid_layer.hpp:18
Class
hard_tanh_layer
include/fdeep/layers/hard_tanh_layer.hpp:18
Class
input_layer
include/fdeep/layers/input_layer.hpp:16
Class
integer_lookup_layer
include/fdeep/layers/integer_lookup_layer.hpp:19
Class
layer
include/fdeep/layers/layer.hpp:23
Class
layer_normalization_layer
include/fdeep/layers/layer_normalization_layer.hpp:16
Class
leaky_relu_layer
include/fdeep/layers/leaky_relu_layer.hpp:16
Class
linear_layer
include/fdeep/layers/linear_layer.hpp:16
Class
log_sigmoid_layer
include/fdeep/layers/log_sigmoid_layer.hpp:17
Class
log_softmax_layer
include/fdeep/layers/log_softmax_layer.hpp:18
Class
lstm_layer
include/fdeep/layers/lstm_layer.hpp:17
Class
max_pooling_3d_layer
include/fdeep/layers/max_pooling_3d_layer.hpp:40
Class
maximum_layer
include/fdeep/layers/maximum_layer.hpp:16
Class
minimum_layer
include/fdeep/layers/minimum_layer.hpp:16
Class
model
include/fdeep/model.hpp:20
Class
model_layer
include/fdeep/layers/model_layer.hpp:23
Class
multi_head_attention_layer
include/fdeep/layers/multi_head_attention_layer.hpp:18
Class
multiply_layer
include/fdeep/layers/multiply_layer.hpp:16
Class
normalization_layer
include/fdeep/layers/normalization_layer.hpp:20
Enum
padding
include/fdeep/convolution.hpp:307
Class
permute_layer
include/fdeep/layers/permute_layer.hpp:16
Class
pooling_3d_layer
Abstract base class for pooling layers
include/fdeep/layers/pooling_3d_layer.hpp:30
Class
prelu_layer
include/fdeep/layers/prelu_layer.hpp:16
Class
relu_layer
include/fdeep/layers/relu_layer.hpp:18
Class
repeat_vector_layer
include/fdeep/layers/repeat_vector_layer.hpp:17
Class
rescaling_layer
include/fdeep/layers/rescaling_layer.hpp:17
Class
reshape_layer
include/fdeep/layers/reshape_layer.hpp:17
Class
resizing_layer
include/fdeep/layers/resizing_layer.hpp:21
Class
rms_normalization_layer
include/fdeep/layers/rms_normalization_layer.hpp:17
Class
selu_layer
https://arxiv.org/pdf/1706.02515.pdf
include/fdeep/layers/selu_layer.hpp:18
Class
separable_conv_2d_layer
Convolve depth slices separately first. Then convolve normally with kernel_size = (1, 1)
include/fdeep/layers/separable_conv_2d_layer.hpp:25
Class
sigmoid_layer
include/fdeep/layers/sigmoid_layer.hpp:18
Class
simple_rnn_layer
include/fdeep/layers/simple_rnn_layer.hpp:17
Class
soft_shrink_layer
include/fdeep/layers/soft_shrink_layer.hpp:17
Class
softmax_layer
include/fdeep/layers/softmax_layer.hpp:16
Class
softplus_layer
include/fdeep/layers/softplus_layer.hpp:17
Class
softsign_layer
include/fdeep/layers/softsign_layer.hpp:18
Class
sparse_plus_layer
include/fdeep/layers/sparse_plus_layer.hpp:17
Class
square_plus_layer
include/fdeep/layers/square_plus_layer.hpp:17
Class
stacked_rnn_layer
Wraps a chain of recurrent layers built from a StackedRNNCells. Each inner layer is a standalone LSTM / GRU / SimpleRNN where all but the last run wit
include/fdeep/layers/stacked_rnn_layer.hpp:21
Class
subtract_layer
include/fdeep/layers/subtract_layer.hpp:16
Class
swish_layer
include/fdeep/layers/swish_layer.hpp:17
Class
tanh_layer
include/fdeep/layers/tanh_layer.hpp:17
Class
tanh_shrink_layer
include/fdeep/layers/tanh_shrink_layer.hpp:17
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