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Functions625 in github.com/Dobiasd/frugally-deep

⨍ Functions 625◇ Types & classes 108
Functioncreate_zero_padding_3d_layer
include/fdeep/import_model.hpp:1032
Methodcropping_3d_layer
include/fdeep/layers/cropping_3d_layer.hpp:18
Methoddata_to_str
include/fdeep/base64.hpp:30
Methoddecode_index
Decodes a flat index back into per-char coordinates and writes them into pos. Used to enumerate output positions and summed-axis combos.
include/fdeep/layers/einsum_dense_layer.hpp:103
Methoddense_layer
include/fdeep/layers/dense_layer.hpp:31
Methoddepth
include/fdeep/tensor.hpp:131
Methoddepthwise_conv_2d_layer
include/fdeep/layers/depthwise_conv_2d_layer.hpp:28
Methodderive_char_sizes
Build a {char -> dim size} map by combining info from kernel dimensions, the input tensor, and (as a fallback) full_output_shape_.
include/fdeep/layers/einsum_dense_layer.hpp:125
Functiondev_null_logger
Take an std::string and do nothing. Useful for silencing the logging when loading a model.
include/fdeep/model.hpp:191
Methoddimensions
include/fdeep/tensor_shape.hpp:153
Methoddiscretization_layer
include/fdeep/layers/discretization_layer.hpp:20
Methoddot_layer
include/fdeep/layers/dot_layer.hpp:18
Functioneigen_row_major_mat_to_values
include/fdeep/tensor.hpp:951
Methodeinsum_dense_layer
include/fdeep/layers/einsum_dense_layer.hpp:20
Functionelu_activation
include/fdeep/recurrent_ops.hpp:83
Methodelu_layer
include/fdeep/layers/elu_layer.hpp:18
Methodembedding_layer
include/fdeep/layers/embedding_layer.hpp:19
Methodencode_offset
include/fdeep/layers/einsum_dense_layer.hpp:113
Functionexponential_activation
include/fdeep/recurrent_ops.hpp:68
Methodexponential_layer
include/fdeep/layers/exponential_layer.hpp:20
Methodextract_biases
include/fdeep/layers/multi_head_attention_layer.hpp:70
Methodextract_timestep
include/fdeep/layers/conv_lstm_3d_layer.hpp:54
Methodextract_timestep
include/fdeep/layers/conv_lstm_2d_layer.hpp:57
Methodfilter
include/fdeep/filter.hpp:23
Methodflatten_layer
include/fdeep/layers/flatten_layer.hpp:19
Functiongelu_activation
include/fdeep/recurrent_ops.hpp:73
Methodgelu_layer
include/fdeep/layers/gelu_layer.hpp:20
Functiongenerate_input_data
Random data fitting the input shape of a layer.
keras_export/convert_model.py:143
Methodgenerate_params
include/fdeep/layers/dense_layer.hpp:24
Methodget_dummy_input_shapes
include/fdeep/model.hpp:80
Functionget_layer_input_shape_tensor_shape
Convert layer input shape to an fdeep shape
keras_export/convert_model.py:53
Methodget_output
include/fdeep/node.hpp:66
Methodget_output
include/fdeep/layers/model_layer.hpp:39
Functionget_shapes
Return shapes of a list of tensors
keras_export/convert_model.py:955
Functionget_tensor_shape_dimension_by_index
include/fdeep/tensor_shape.hpp:310
Functionget_test_model_autoencoder
Returns a minimal autoencoder test model.
keras_export/generate_test_models.py:853
Functionget_test_model_embedding
Returns a minimalistic test model for the Embedding and CategoryEncoding layers.
keras_export/generate_test_models.py:770
Functionget_test_model_exhaustive
Returns a exhaustive test model.
keras_export/generate_test_models.py:119
Functionget_test_model_recurrent
Returns a test model exercising recurrent layers (LSTM, GRU, SimpleRNN, Bidirectional, RNN with cells, ConvLSTM, Masking).
keras_export/generate_test_models.py:903
Functionget_test_model_sequential
Returns a typical (VGG-like) sequential test model.
keras_export/generate_test_models.py:871
Functionget_test_model_variable
Returns a model with variably shaped input tensors.
keras_export/generate_test_models.py:813
Methodglobal_average_pooling_3d_layer
include/fdeep/layers/global_average_pooling_3d_layer.hpp:18
Methodglobal_max_pooling_3d_layer
include/fdeep/layers/global_max_pooling_3d_layer.hpp:20
Methodglobal_pooling_layer
include/fdeep/layers/global_pooling_layer.hpp:24
Methodgroup_normalization_layer
include/fdeep/layers/group_normalization_layer.hpp:20
Methodgroup_query_attention_layer
include/fdeep/layers/group_query_attention_layer.hpp:21
Methodgru_layer
include/fdeep/layers/gru_layer.hpp:19
Methodhard_shrink_layer
include/fdeep/layers/hard_shrink_layer.hpp:19
Functionhard_sigmoid_activation
include/fdeep/recurrent_ops.hpp:49
Methodhard_sigmoid_layer
include/fdeep/layers/hard_sigmoid_layer.hpp:20
Methodhard_tanh_layer
include/fdeep/layers/hard_tanh_layer.hpp:20
Methodidx
include/fdeep/tensor.hpp:161
Methodidx_ignore_rank
include/fdeep/tensor.hpp:157
Functioninner_average_pool
include/fdeep/layers/average_pooling_3d_layer.hpp:17
Functioninner_max_pool
include/fdeep/layers/max_pooling_3d_layer.hpp:17
Methodinput_layer
include/fdeep/layers/input_layer.hpp:18
Methodinteger_lookup_layer
include/fdeep/layers/integer_lookup_layer.hpp:21
Methodjson_data_strs_char_prodiver
include/fdeep/base64.hpp:21
Methodlayer
include/fdeep/layers/layer.hpp:34
Methodlayer_normalization_layer
include/fdeep/layers/layer_normalization_layer.hpp:18
Methodleaky_relu_layer
include/fdeep/layers/leaky_relu_layer.hpp:18
Functionlinear_activation
include/fdeep/recurrent_ops.hpp:24
Methodlinear_layer
include/fdeep/layers/linear_layer.hpp:18
Functionload_test_case
include/fdeep/import_model.hpp:1975
Methodlog_sigmoid_layer
include/fdeep/layers/log_sigmoid_layer.hpp:19
Methodlog_softmax_layer
include/fdeep/layers/log_softmax_layer.hpp:20
Methodlstm_layer
include/fdeep/layers/lstm_layer.hpp:19
Functionmain
test/applications_performance.cpp:9
Methodmax_pooling_3d_layer
include/fdeep/layers/max_pooling_3d_layer.hpp:42
Methodmaximize_rank
include/fdeep/tensor_shape.hpp:148
Methodmaximum_layer
include/fdeep/layers/maximum_layer.hpp:18
Methodminimal_rank
include/fdeep/tensor_shape.hpp:125
Methodminimum_layer
include/fdeep/layers/minimum_layer.hpp:18
Methodmodel
include/fdeep/model.hpp:117
Methodmodel_layer
include/fdeep/layers/model_layer.hpp:25
Methodmulti_head_attention_layer
include/fdeep/layers/multi_head_attention_layer.hpp:20
Methodmultiply_layer
include/fdeep/layers/multiply_layer.hpp:18
Methodnode
include/fdeep/node.hpp:62
Methodnode_connection
include/fdeep/node.hpp:33
Methodnormalization_layer
include/fdeep/layers/normalization_layer.hpp:22
Functionoperator!=
include/fdeep/tensor_shape_variable.hpp:112
Functionoperator==
include/fdeep/tensor_shape.hpp:252
Functionoperator==
include/fdeep/shape2.hpp:36
Functionoperator==
include/fdeep/shape3.hpp:39
Functionoperator==
include/fdeep/tensor_shape_variable.hpp:107
Methodoutput_projection
Project (T_q, num_query_heads, head_dim) attn back to (T_q, out_dim).
include/fdeep/layers/group_query_attention_layer.hpp:166
Methodoutput_shape_for
include/fdeep/layers/adaptive_pooling_3d_layer.hpp:64
Methodparse_lhs
Parses "lhs,rhs_kernel->rhs" into its three pieces.
include/fdeep/layers/einsum_dense_layer.hpp:52
Methodparse_rhs
include/fdeep/layers/einsum_dense_layer.hpp:63
Methodparse_rhs_kernel
include/fdeep/layers/einsum_dense_layer.hpp:57
Methodpermute_layer
include/fdeep/layers/permute_layer.hpp:18
Methodpool
include/fdeep/layers/pooling_3d_layer.hpp:44
Methodpool
include/fdeep/layers/global_max_pooling_3d_layer.hpp:27
Methodpool
include/fdeep/layers/global_average_pooling_3d_layer.hpp:25
Methodpool_window
include/fdeep/layers/adaptive_pooling_3d_layer.hpp:78
Methodpooling_3d_layer
include/fdeep/layers/pooling_3d_layer.hpp:32
Methodpredict_class
Convenience wrapper around predict for models with single tensor outputs of shape (1, 1, z). Suitable for classification models with more than one out
include/fdeep/model.hpp:48
Methodpredict_class_with_confidence
Like predict_class, but also returns the value of the maximally activated output neuron.
include/fdeep/model.hpp:55
Methodpredict_class_with_confidence_impl
include/fdeep/model.hpp:153
Methodpredict_single_output
Convenience wrapper around predict for models with single tensor outputs of shape (1, 1, 1), typically used for regression or binary classification. R
include/fdeep/model.hpp:65
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