 |
OpenANN
1.1.0
An open source library for artificial neural networks.
|
All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Pages
|
OpenANN
1.1.0
An open source library for artificial neural networks.
|
Inheritance diagram for net.Net:Public Member Functions | |
| def | __cinit__ |
| def | __dealloc__ |
| def | initialize |
| def | input_layer |
| def | alpha_beta_filter_layer |
| def | fully_connected_layer |
| def | restricted_boltzmann_machine_layer |
| def | compressed_layer |
| def | extreme_layer |
| def | intrinsic_plasticity_layer |
| def | convolutional_layer |
| def | subsampling_layer |
| def | maxpooling_layer |
| def | local_response_normalization_layer |
| def | dropout_layer |
| def | output_layer |
| def | compressed_output_layer |
| def | add_layer |
| def | add_output_layer |
| def | set_regularization |
| def | set_error_function |
| def | use_dropout |
| def | predict |
| def | get_layer |
| def | dimension |
| def | set_parameters |
| def | current_parameters |
| def | save |
| def | load |
Public Attributes | |
| thisptr | |
| learner | |
A multilayer feedforward network.
| def net.Net.__cinit__ | ( | self) |
| def net.Net.__dealloc__ | ( | self) |
| def net.Net.add_layer | ( | self, | |
| layer | |||
| ) |
Add a layer.
| def net.Net.add_output_layer | ( | self, | |
| layer | |||
| ) |
Add an output layer.
| def net.Net.alpha_beta_filter_layer | ( | self, | |
| delta_t, | |||
std_dev = 0.05 |
|||
| ) |
Add an alpha-beta filter layer.
| def net.Net.compressed_layer | ( | self, | |
| units, | |||
| params, | |||
| act, | |||
| compression, | |||
std_dev = 0.05, |
|||
bias = True |
|||
| ) |
Add a compressed layer.
| def net.Net.compressed_output_layer | ( | self, | |
| units, | |||
| params, | |||
| act, | |||
| compression, | |||
std_dev = 0.05 |
|||
| ) |
Add a compressed output layer.
| def net.Net.convolutional_layer | ( | self, | |
| featureMaps, | |||
| kernelRows, | |||
| kernelCols, | |||
| act, | |||
std_dev = 0.05, |
|||
bias = True |
|||
| ) |
Add a convolutional layer.
| def net.Net.current_parameters | ( | self) |
Get current parameters.
| def net.Net.dimension | ( | self) |
Get number of parameters.
| def net.Net.dropout_layer | ( | self, | |
| dropout_probability | |||
| ) |
Add a dropout layer.
| def net.Net.extreme_layer | ( | self, | |
| units, | |||
| act, | |||
std_dev = 5.0, |
|||
bias = True |
|||
| ) |
Add an extreme layer.
| def net.Net.fully_connected_layer | ( | self, | |
| units, | |||
| act, | |||
std_dev = 0.05, |
|||
bias = True |
|||
| ) |
Add a fully connected layer.
| def net.Net.get_layer | ( | self, | |
| l | |||
| ) |
Get the l-th layer.
| def net.Net.initialize | ( | self) |
| def net.Net.input_layer | ( | self, | |
| dim1, | |||
dim2 = 1, |
|||
dim3 = 1 |
|||
| ) |
Add an input layer.
| def net.Net.intrinsic_plasticity_layer | ( | self, | |
| target_mean, | |||
std_dev = 1.0 |
|||
| ) |
Add an intrinsic plasticity layer.
| def net.Net.load | ( | self, | |
| file_name | |||
| ) |
| def net.Net.local_response_normalization_layer | ( | self, | |
| k, | |||
| n, | |||
| alpha, | |||
| beta | |||
| ) |
Add a local response normalization layer.
| def net.Net.maxpooling_layer | ( | self, | |
| kernelRows, | |||
| kernelCols | |||
| ) |
Add a maxpooling layer.
| def net.Net.output_layer | ( | self, | |
| units, | |||
| act, | |||
std_dev = 0.05 |
|||
| ) |
Add an output layer.
| def net.Net.predict | ( | self, | |
| x_numpy | |||
| ) |
Predict output for given inputs, each row represents an instance.
| def net.Net.restricted_boltzmann_machine_layer | ( | self, | |
| units, | |||
cd_n = 1, |
|||
std_dev = 0.01, |
|||
backprop = True |
|||
| ) |
Add an RBM.
| def net.Net.save | ( | self, | |
| file_name | |||
| ) |
| def net.Net.set_error_function | ( | self, | |
| err | |||
| ) |
Set the error function.
| def net.Net.set_parameters | ( | self, | |
| parameters | |||
| ) |
Set parameters of the network.
| def net.Net.set_regularization | ( | self, | |
l1_penalty = 0.0, |
|||
l2_penalty = 0.0, |
|||
max_squared_weight_norm = 0.0 |
|||
| ) |
Set regularization coefficients.
| def net.Net.subsampling_layer | ( | self, | |
| kernelRows, | |||
| kernelCols, | |||
| act, | |||
std_dev = 0.05, |
|||
bias = True |
|||
| ) |
Add a subsampling layer.
| def net.Net.use_dropout | ( | self, | |
| activate | |||
| ) |
(De)activate dropout.
| net.Net.learner |
| net.Net.thisptr |
1.8.4
