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Functions199 in github.com/SchafferZhang/DADA

⨍ Functions 199◇ Types & classes 30
Methodget_output_for
(self, input, **kwargs)
cifar100/nn.py:349
Methodget_output_for
(self, input, **kwargs)
cifar100/nn.py:370
Methodget_output_for
(self, input, deterministic=False, init=False, **kwargs)
cifar100/nn.py:413
Methodget_output_for
(self, input, init=False, **kwargs)
cifar10-svhn/nn.py:88
Methodget_output_for
(self, input, **kwargs)
cifar10-svhn/nn.py:128
Methodget_output_for
(self, input, init=False, **kwargs)
cifar10-svhn/nn.py:157
Methodget_output_for
(self, input, **kwargs)
cifar10-svhn/nn.py:195
Methodget_output_for
(self, input, deterministic=False, **kwargs)
cifar10-svhn/nn.py:223
Methodget_output_for
(self, input, deterministic=False, use_last_noise=False, **kwargs)
cifar10-svhn/nn.py:269
Methodget_output_for
(self, input, init=False, deterministic=False, **kwargs)
cifar10-svhn/nn.py:315
Methodget_output_for
(self, input, **kwargs)
cifar10-svhn/nn.py:349
Methodget_output_for
(self, input, **kwargs)
cifar10-svhn/nn.py:370
Methodget_output_for
(self, input, deterministic=False, init=False, **kwargs)
cifar10-svhn/nn.py:413
Methodget_output_for
(self, input, init=False, **kwargs)
DDSM/nn.py:88
Methodget_output_for
(self, input, **kwargs)
DDSM/nn.py:128
Methodget_output_for
(self, input, init=False, **kwargs)
DDSM/nn.py:157
Methodget_output_for
(self, input, **kwargs)
DDSM/nn.py:195
Methodget_output_for
(self, input, deterministic=False, **kwargs)
DDSM/nn.py:223
Methodget_output_for
(self, input, deterministic=False, use_last_noise=False, **kwargs)
DDSM/nn.py:269
Methodget_output_for
(self, input, init=False, deterministic=False, **kwargs)
DDSM/nn.py:315
Methodget_output_for
(self, input, **kwargs)
DDSM/nn.py:349
Methodget_output_for
(self, input, **kwargs)
DDSM/nn.py:370
Methodget_output_for
(self, input, deterministic=False, init=False, **kwargs)
DDSM/nn.py:413
Methodget_output_shape_for
(self, input_shape)
cifar100/nn.py:137
Methodget_output_shape_for
(self, input_shape)
cifar100/nn.py:154
Methodget_output_shape_for
(self, input_shape)
cifar100/nn.py:192
Methodget_output_shape_for
(self, input_shape)
cifar100/nn.py:312
Methodget_output_shape_for
(self, input_shapes)
cifar100/nn.py:344
Methodget_output_shape_for
(self, input_shapes)
cifar100/nn.py:365
Methodget_output_shape_for
(self, input_shape)
cifar10-svhn/nn.py:137
Methodget_output_shape_for
(self, input_shape)
cifar10-svhn/nn.py:154
Methodget_output_shape_for
(self, input_shape)
cifar10-svhn/nn.py:192
Methodget_output_shape_for
(self, input_shape)
cifar10-svhn/nn.py:312
Methodget_output_shape_for
(self, input_shapes)
cifar10-svhn/nn.py:344
Methodget_output_shape_for
(self, input_shapes)
cifar10-svhn/nn.py:365
Methodget_output_shape_for
(self, input_shape)
DDSM/nn.py:137
Methodget_output_shape_for
(self, input_shape)
DDSM/nn.py:154
Methodget_output_shape_for
(self, input_shape)
DDSM/nn.py:192
Methodget_output_shape_for
(self, input_shape)
DDSM/nn.py:312
Methodget_output_shape_for
(self, input_shapes)
DDSM/nn.py:344
Methodget_output_shape_for
(self, input_shapes)
DDSM/nn.py:365
Functionget_pad_list
(pad_list)
cifar100/utils/others.py:12
Functionget_pad_list
(pad_list)
cifar10-svhn/utils/others.py:12
Methodget_sig
(self)
cifar100/nn.py:198
Methodget_sig
(self)
cifar10-svhn/nn.py:198
Methodget_sig
(self)
DDSM/nn.py:198
Methodget_z
(self)
cifar100/nn.py:201
Methodget_z
(self)
cifar10-svhn/nn.py:201
Methodget_z
(self)
DDSM/nn.py:201
Functionl2normalize
(layer, train_scale=True)
cifar100/nn.py:281
Functionl2normalize
(layer, train_scale=True)
cifar10-svhn/nn.py:281
Functionl2normalize
(layer, train_scale=True)
DDSM/nn.py:281
Functionload
(data_dir, subset='train')
cifar100/cifar100_data.py:14
Functionload
(data_dir, subset='train')
cifar10-svhn/svhn_data.py:20
Functionload
(data_dir, subset='train')
cifar10-svhn/cifar10_data.py:31
Functionload
(data_dir,subset)
DDSM/ddsm_data.py:3
Functionload_weights
(fname, l_out)
cifar100/utils/checkpoints.py:82
Functionload_weights
(fname, l_out)
cifar10-svhn/utils/checkpoints.py:82
Functionload_weights_trainable
(fname, l_out)
cifar100/utils/checkpoints.py:50
Functionload_weights_trainable
(fname, l_out)
cifar10-svhn/utils/checkpoints.py:50
Functionlog_sum_exp
(x, axis=1)
cifar100/nn.py:27
Functionlog_sum_exp
(x, axis=1)
cifar10-svhn/nn.py:27
Functionlog_sum_exp
(x, axis=1)
DDSM/nn.py:27
Functionlrelu
(x, a=0.2)
cifar100/nn.py:19
Functionlrelu
(x, a=0.2)
cifar10-svhn/nn.py:19
Functionlrelu
(x, a=0.2)
DDSM/nn.py:19
Functionmat_to_img
(w, dim_input, scale=False, colorImg=False, tile_spacing=(1, 1), tile_shape=0, save_path=None)
cifar100/utils/paramgraphics.py:141
Functionmat_to_img
(w, dim_input, scale=False, colorImg=False, tile_spacing=(1, 1), tile_shape=0, save_path=None)
cifar10-svhn/utils/paramgraphics.py:141
Functionmaybe_download
(data_dir)
cifar10-svhn/svhn_data.py:8
Functionmaybe_download_and_extract
(data_dir, url='http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz')
cifar10-svhn/cifar10_data.py:8
Functionmean_only_bn
(layer, **kwargs)
cifar100/nn.py:429
Functionmean_only_bn
(layer, **kwargs)
cifar10-svhn/nn.py:429
Functionmean_only_bn
(layer, **kwargs)
DDSM/nn.py:429
Functionmerge
(images, size)
cifar100/train_cifar100.py:38
Functionmerge
(images, size)
cifar10-svhn/train_cifar_svhn.py:39
Functionplot_img
(img, title)
cifar100/plotting.py:8
Functionplot_img
(img, title)
cifar10-svhn/plotting.py:8
Functionplot_img
(img, title)
DDSM/plotting.py:8
Functionprintarray_2D
(array, precise=2)
cifar100/utils/others.py:58
Functionprintarray_2D
(array, precise=2)
cifar10-svhn/utils/others.py:58
Functionread_model_data
Unpickles and loads parameters into a Lasagne model.
cifar100/params.py:18
Functionread_model_data
Unpickles and loads parameters into a Lasagne model.
cifar10-svhn/params.py:18
Functionread_model_data
Unpickles and loads parameters into a Lasagne model.
DDSM/params.py:18
Functionrelu
(x)
cifar100/nn.py:15
Functionrelu
(x)
cifar10-svhn/nn.py:15
Functionrelu
(x)
DDSM/nn.py:15
Functionsave_weights
(fname, params, history=None)
cifar100/utils/checkpoints.py:17
Functionsave_weights
(fname, params, history=None)
cifar10-svhn/utils/checkpoints.py:17
Functionscale_max_min
(images, max_p, min_p)
cifar100/utils/paramgraphics.py:6
Functionscale_max_min
(images, max_p, min_p)
cifar10-svhn/utils/paramgraphics.py:6
Functiontile_raster_images
Transform an array with one flattened image per row, into an array in which images are reshaped and layed out like tiles on a floor. This func
cifar100/plotting.py:91
Functiontile_raster_images
Transform an array with one flattened image per row, into an array in which images are reshaped and layed out like tiles on a floor. This func
cifar10-svhn/plotting.py:91
Functiontile_raster_images
Transform an array with one flattened image per row, into an array in which images are reshaped and layed out like tiles on a floor. This func
DDSM/plotting.py:91
Functionweight_norm
(layer, **kwargs)
cifar100/nn.py:101
Functionweight_norm
(layer, **kwargs)
cifar10-svhn/nn.py:101
Functionweight_norm
(layer, **kwargs)
DDSM/nn.py:101
Functionwrite_model_data
Pickels the parameters within a Lasagne model.
cifar100/params.py:26
Functionwrite_model_data
Pickels the parameters within a Lasagne model.
cifar10-svhn/params.py:26
Functionwrite_model_data
Pickels the parameters within a Lasagne model.
DDSM/params.py:26
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