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OpenNN
26.0.1
Open-source neural networks library in C++
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File List
Here is a list of all files with brief descriptions:
[detail level
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config
▼
opennn
▼
core
►
cuda
cudnn_frontend_utilities.h
energy_meter.h
matmul_cudnn.h
configuration.h
device_backend.h
enum_map.h
io_utilities.h
json.h
log.h
memory_debug.h
memory_pool.h
opennn_types.h
parallel_algorithms.h
profiler.h
random_utilities.h
scaling.h
statistics.h
string_utilities.h
tensor_operations.h
tensor_types.h
thread_safe_queue.h
variable.h
▼
dataset
batch.h
correlations.h
dataset.h
field_parsing.h
image_dataset.h
image_processing.h
tabular_dataset.h
text_dataset.h
yolo_dataset.h
yolo_dataset_internal.h
▼
evaluation
evaluation.h
▼
model_selection
cross_validation.h
genetic_algorithm.h
growing_inputs.h
growing_neurons.h
input_selection.h
model_selection.h
selection_algorithm.h
selection_utilities.h
weighted_selection.h
▼
models
models.h
▼
network
►
layers
activation_layer.h
addition_layer.h
c2psa_layer.h
clamping_layer.h
concatenation_layer.h
convolutional_layer.h
dense_layer.h
detection_layer.h
detection_v8_layer.h
embedding_layer.h
flatten_layer.h
grouped_query_attention_layer.h
layer.h
layer_registry.h
lstm_layer.h
multihead_attention_layer.h
non_max_suppression_layer.h
normalization_layer_3d.h
pooling_layer.h
pooling_layer_3d.h
recurrent_layer.h
scaling_layer.h
tokenizer_layer.h
unscaling_layer.h
upsampling_layer.h
►
operators
activation_operator.h
attention_operator.h
batch_norm_operator.h
c2psa_operator.h
combination_operator.h
convolution_operator.h
cudnn_rnn.h
dropout_operator.h
embedding_lookup_operator.h
layer_normalization_operator.h
multihead_projection_operator.h
operator.h
pool3d_operator.h
swiglu_operator.h
tokenizer_operator.h
back_propagation.h
chat.h
detection_head.h
forward_propagation.h
model_expression.h
network.h
network_internal.h
onnx_export.h
standard_networks.h
training_arena_plan.h
▼
response_optimization
domain_contraction.h
expression_evaluator.h
genetic_response.h
response_optimization.h
▼
training
adam.h
error_functions.h
levenberg_marquardt.h
levenberg_marquardt_step.h
loss.h
optimizer.h
quasi_newton.h
quasi_newton_update.h
sgd.h
training.h
training_context.h
training_result.h
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