All existing Units with parameters
Units for loading data. Loaders contains data and labels.
minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio
minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
cache file force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
cache file force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
add_sobel background_color background_image color_space crop crop_number file_subtypes file_type ignored_files included_files label_regexp minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop test_paths train_paths train_ratio validation_paths validation_ratio
add_sobel background_color background_image color_space crop crop_number file_subtypes file_type ignored_files included_files minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop test_paths train_paths train_ratio validation_paths validation_ratio
add_sobel background_color background_image color_space crop crop_number file_subtypes file_type ignored_files included_files minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop train_ratio validation_ratio
add_sobel background_color background_image color_space crop crop_number file_subtypes file_type ignored_files included_files minibatch_size mirror normalization_parameters normalization_type path_to_mean path_to_test_text_file path_to_train_text_file path_to_val_text_file prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop train_ratio validation_ratio
cache force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
add_sobel background_color background_image cache color_space crop crop_number file_subtypes file_type force_numpy ignored_files included_files label_regexp minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop test_paths train_paths train_ratio validation_paths validation_ratio
add_sobel background_color background_image cache color_space crop crop_number file_subtypes file_type force_numpy ignored_files included_files minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop test_paths train_paths train_ratio validation_paths validation_ratio
add_sobel background_color background_image cache color_space crop crop_number file_subtypes file_type force_numpy ignored_files included_files minibatch_size mirror normalization_parameters normalization_type path_to_mean path_to_test_text_file path_to_train_text_file path_to_val_text_file prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop train_ratio validation_ratio
add_sobel background_color background_image cache color_space crop crop_number force_numpy minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop train_ratio validation_ratio
add_sobel background_color background_image color_space crop crop_number minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop train_ratio validation_ratio
add_sobel background_color background_image color_space crop crop_number loadtxt_kwargs minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop train_ratio validation_ratio
loadtxt_kwargs minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio
cache force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit test_path train_path train_ratio validation_path validation_ratio
minibatch_size normalization_parameters normalization_type prng shuffle_limit test_path train_path train_ratio validation_path
minibatch_size normalization_parameters normalization_type prng shuffle_limit test_path train_path train_ratio validation_path
add_sobel background_color background_image cache color_space crop crop_number force_numpy minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop test_pickles train_pickles train_ratio validation_pickles validation_ratio
cache force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit test_pickles train_pickles train_ratio validation_pickles validation_ratio
add_sobel background_color background_image color_space crop crop_number max_response_time minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop train_ratio validation_ratio
max_response_time minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio
file_name minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio
queue_size
channels count_samples_filename crop_size_sx crop_size_sy matrixes_filename minibatch_size mirror normalization_parameters normalization_type original_labels_filename prng samples_filename shuffle_limit sx sy train_ratio
add_sobel background_color background_image color_space crop crop_number db_colorspace db_shape db_splitted_channels minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop test_path train_path train_ratio use_cache validation_path validation_ratio
cache force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
add_sobel background_color background_image cache color_space crop crop_number directory force_numpy minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop train_ratio validation_ratio
cache dataset_file force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
add_sobel background_color background_image cache color_space crop crop_number force_numpy minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop test_pickles train_pickles train_ratio validation_pickles validation_ratio
cache force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
cache force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
cache dataset_file force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
Units for loading data. Loaders contains data, labels and targets.
minibatch_size normalization_parameters normalization_type prng shuffle_limit target_normalization_parameters target_normalization_type targets_shape train_ratio
cache file force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit target_normalization_parameters target_normalization_type targets_shape train_ratio validation_ratio
cache force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit target_normalization_parameters target_normalization_type targets_shape train_ratio validation_ratio
add_sobel background_color background_image cache color_space crop crop_number file_subtypes file_type force_numpy ignored_files included_files label_regexp minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop target_normalization_parameters target_normalization_type target_paths targets_shape test_paths train_paths train_ratio validation_paths validation_ratio
add_sobel background_color background_image cache color_space crop crop_number file_subtypes file_type force_numpy ignored_files included_files minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop target_normalization_parameters target_normalization_type target_paths targets_shape test_paths train_paths train_ratio validation_paths validation_ratio
add_sobel background_color background_image cache color_space crop crop_number force_numpy minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop target_normalization_parameters target_normalization_type targets_shape train_ratio validation_ratio
add_sobel background_color background_image color_space crop crop_number file_subtypes file_type ignored_files included_files minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop target_normalization_parameters target_normalization_type target_paths targets_shape test_paths train_paths train_ratio validation_paths validation_ratio
add_sobel background_color background_image color_space crop crop_number minibatch_size mirror normalization_parameters normalization_type path_to_mean prng rotations scale scale_maintain_aspect_ratio shuffle_limit smart_crop target_normalization_parameters target_normalization_type targets_shape train_ratio validation_ratio
Units for forward propagation of Neural Networks.
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky n_kernels padding rand sliding unpack_size weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky n_kernels padding rand sliding unpack_size weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky n_kernels padding rand sliding unpack_size weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky n_kernels padding rand sliding unpack_size weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky n_kernels padding rand sliding unpack_size weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand unsafe_padding weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache dropout_ratio force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
alpha beta bias_filling bias_stddev cache force_numpy include_bias k n rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding uniform weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding uniform weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding uniform weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding uniform weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
cache force_numpy grouping
Units for backward propagation of Neural Networks
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache dropout_ratio factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient adadelta_adom adadelta_epsilon adadelta_momentum adagrad_epsilon apply_gradient cache factor_ortho fast_learning_rate force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias last_minibatch learning_rate learning_rate_bias need_err_input solvers variant_gradient variant_moment_gradient weights_decay weights_decay_bias weights_transposed
accumulate_gradient adadelta_adom adadelta_epsilon adadelta_momentum adagrad_epsilon apply_gradient cache factor_ortho fast_learning_rate force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias last_minibatch learning_rate learning_rate_bias need_err_input solvers variant_gradient variant_moment_gradient weights_decay weights_decay_bias weights_transposed
accumulate_gradient adadelta_adom adadelta_epsilon adadelta_momentum adagrad_epsilon apply_gradient cache factor_ortho fast_learning_rate force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias last_minibatch learning_rate learning_rate_bias need_err_input solvers variant_gradient variant_moment_gradient weights_decay weights_decay_bias weights_transposed
accumulate_gradient adadelta_adom adadelta_epsilon adadelta_momentum adagrad_epsilon apply_gradient cache factor_ortho fast_learning_rate force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias last_minibatch learning_rate learning_rate_bias need_err_input solvers variant_gradient variant_moment_gradient weights_decay weights_decay_bias weights_transposed
accumulate_gradient adadelta_adom adadelta_epsilon adadelta_momentum adagrad_epsilon apply_gradient cache factor_ortho fast_learning_rate force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias last_minibatch learning_rate learning_rate_bias need_err_input solvers variant_gradient variant_moment_gradient weights_decay weights_decay_bias weights_transposed
accumulate_gradient adadelta_adom adadelta_epsilon adadelta_momentum adagrad_epsilon apply_gradient cache factor_ortho fast_learning_rate force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias last_minibatch learning_rate learning_rate_bias need_err_input solvers variant_gradient variant_moment_gradient weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient alpha apply_gradient beta cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias k l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias n need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient adadelta_adom adadelta_epsilon adadelta_momentum adagrad_epsilon apply_gradient cache factor_ortho fast_learning_rate force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias last_minibatch learning_rate learning_rate_bias need_err_input solvers variant_gradient variant_moment_gradient weights_decay weights_decay_bias weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache factor force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
Units for visualizing of data, errors, matrix, etc
clear_plot fit_poly_power label last line_width minimap plot_style redraw_plot ylim
hist_number limit n_bars
period update_interval
color_space column_align form_threshold limit magnitude_threshold peak_threshold split_channels transposed yuv
veles.znicz.nn_plotting_units.KohonenGridBase
color_bins color_text
color_grid color_scheme
color_neurons color_scheme
color_map color_text
color_space column_align limit split_channels transposed yuv
Kohonen Map units.
max_epochs weights_min_diff
cache force_numpy total
cache force_numpy gradient_decay radius_decay shape weights_filling weights_stddev weights_transposed
cache force_numpy minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio validation_ratio
cache force_numpy
cache force_numpy rand
cache force_numpy
max_iterations
cache force_numpy
learning_rate
Units, which can be used in Workflows.
block_size cache dry_run_first dtype force_numpy precision_level repeats return_time size vector_opt
cache force_numpy
cache force_numpy
directory files url
model
model
model plotters_are_disabled size train_ratio
input_file model
config generations model plotters_are_disabled rand size
config generations model plotters_are_disabled rand size
cache force_numpy inputs
minibatch_size normalization_parameters normalization_type prng shuffle_limit train_ratio
path_to_test_text_file path_to_train_text_file path_to_val_text_file
file_subtypes file_type ignored_files included_files test_paths train_paths validation_paths
class_chunk_sizes compression compression_level file_name
cache force_numpy
cache cache_file_name defines dtype force_numpy kernel_name source
cache force_numpy num_states output_bytes prng
backends loader matplotlib_backend plots savefig_kwargs templates workflow_graph_kwargs
path port
compression compression_level interval prefix time_interval warn_about_size
compression compression_level interval odbc prefix table time_interval warn_about_size
compression compression_level directory interval prefix time_interval warn_about_size
veles.units.TrivialUnit
queue_size
bars type
bars squash
fail_iterations max_epochs
fail_iterations max_epochs root
max_epochs
arrays file_name
cache force_numpy mean root
cache compute_confusion_matrix force_numpy mean
color_space limit out_dirs
top_number
bias_lr_parameters bias_lr_policy_name lr_parameters lr_policy_name
lr_minus lr_plus minus_steps plus_steps
compression compression_level interval prefix time_interval warn_about_size
compression compression_level interval odbc prefix table time_interval warn_about_size
compression compression_level directory interval prefix time_interval warn_about_size
cyclic loader_config loader_name result_unit_factory
Base Units, which are parents for working units. They can not be used in Workflows.
cache force_numpy
cache force_numpy
normalization_parameters normalization_type target_normalization_parameters target_normalization_type targets_shape
file_subtypes file_type ignored_files included_files label_regexp test_paths train_paths validation_paths
file_subtypes file_type ignored_files included_files
path_to_test_text_file path_to_train_text_file path_to_val_text_file
file_subtypes file_type ignored_files included_files test_paths train_paths validation_paths
normalization_parameters normalization_type target_normalization_parameters target_normalization_type targets_shape
normalization_parameters normalization_type target_normalization_parameters target_normalization_type target_paths targets_shape
normalization_parameters normalization_type target_normalization_parameters target_normalization_type targets_shape
normalization_parameters normalization_type target_normalization_parameters target_normalization_type target_paths targets_shape
normalization_parameters normalization_type target_normalization_parameters target_normalization_type targets_shape
veles.plumbing.UttermostPoint
compression compression_level interval prefix time_interval warn_about_size
compression compression_level interval prefix time_interval warn_about_size
veles.units.Container
veles.units.Unit
cache force_numpy
veles.znicz.conv.ConvolutionalBase
veles.znicz.cutter.CutterBase
max_epochs
max_epochs
cache dropout_ratio force_numpy
cache force_numpy mean
cache force_numpy mean
bias_filling bias_stddev cache force_numpy include_bias rand weights_filling weights_stddev weights_transposed
cache force_numpy
cache force_numpy
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
accumulate_gradient apply_gradient cache factor_ortho force_numpy gradient_moment gradient_moment_bias include_bias l1_vs_l2 l1_vs_l2_bias learning_rate learning_rate_bias need_err_input weights_decay weights_decay_bias weights_transposed
cache force_numpy
alpha beta cache force_numpy k n
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding weights_filling weights_stddev weights_transposed
veles.znicz.pooling.PoolingBase
bias_filling bias_stddev cache force_numpy include_bias kx ky rand sliding uniform weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
bias_filling bias_stddev cache force_numpy include_bias output_dtype output_sample_shape output_samples_number rand weights_filling weights_stddev weights_transposed
cache force_numpy
cache force_numpy rand
cache force_numpy rand
cache force_numpy rand