MCPcopy Create free account

hub / github.com/andersbll/deeppy / functions

Functions648 in github.com/andersbll/deeppy

⨍ Functions 648◇ Types & classes 144
↓ 78 callersMethodarray
(self, shape)
deeppy/filler.py:25
↓ 22 callersMethodsplit
(self, n_val=10000)
deeppy/dataset/infimnist.py:42
↓ 19 callersMethodfrom_any
(cls, arg)
deeppy/train/annealers.py:9
↓ 11 callersMethodnodes
(self)
deeppy/expr/graph/digraph.py:13
↓ 10 callersMethodfprop
(self)
deeppy/expr/base.py:28
↓ 10 callersMethodtransform
(self, x, copy=True)
deeppy/preprocess/scalers.py:51
↓ 9 callersMethodbatches
(self)
deeppy/siamese/feed.py:13
↓ 9 callersMethodbprop
(self)
deeppy/expr/base.py:31
↓ 9 callersFunctioncheckpoint
(filepath)
deeppy/dataset/util.py:44
↓ 9 callersMethodtrain_epochs
(self, n_epochs, annealer=None, error_fun=None)
deeppy/train/gradient_descent.py:41
↓ 8 callersFunctionapprox_fprime
Central difference approximation of the gradient of a scalar function.
test/unit/feedforward/test_layers.py:45
↓ 8 callersFunctionarchive_extract
(filepath, target_dir)
deeppy/dataset/util.py:59
↓ 8 callersMethodarrays
(self, dp_dtypes=False)
deeppy/dataset/stl10.py:37
↓ 8 callersMethodfprop
(self, x1, x2)
deeppy/siamese/loss.py:12
↓ 8 callersFunctiongradclose
(a, b, rtol=None, atol=None)
test/unit/feedforward/test_layers.py:24
↓ 7 callersMethodadd_edge
(self, u, v)
deeppy/expr/graph/digraph.py:51
↓ 7 callersFunctionchecksum
(filename, method='sha1')
deeppy/dataset/util.py:90
↓ 7 callersFunctiondownload
(url, target_dir, filename=None)
deeppy/dataset/util.py:31
↓ 7 callersMethodfit_transform
(self, x, copy=True)
deeppy/preprocess/scalers.py:47
↓ 7 callersMethodgrad
(self, target, x1, x2)
deeppy/siamese/loss.py:23
↓ 6 callersFunctionaffine
(n_out)
examples/adversarial_mnist.py:35
↓ 6 callersMethodedges
(self, nodes=None)
deeppy/expr/graph/digraph.py:16
↓ 6 callersMethodfrom_any
(cls, arg)
deeppy/feedforward/activation_layers.py:12
↓ 6 callersFunctionnode_exception_msg
(node)
deeppy/expr/graph/exprgraph.py:52
↓ 6 callersMethodoutput_shape
(self, feed_shape)
deeppy/autoencoder/autoencoder.py:43
↓ 6 callersMethodsetup
(self)
deeppy/expr/base.py:25
↓ 6 callersFunctiontraceback_str
()
deeppy/expr/graph/exprgraph.py:67
↓ 5 callersMethod__call__
(self, lhs, rhs)
deeppy/expr/elementwise.py:72
↓ 5 callersMethod_download
(self, url, md5)
deeppy/dataset/lfw.py:95
↓ 5 callersFunction_read_int
(buf)
deeppy/dataset/util.py:100
↓ 5 callersMethodadd_node
(self, n)
deeppy/expr/graph/digraph.py:30
↓ 5 callersFunctionaffine
(n_out, gain)
examples/variational_autoencoder_mnist.py:28
↓ 5 callersFunctiondraw
(sinks, filepath, omit_splits=True, emph_nodes=[])
deeppy/expr/graph/util.py:13
↓ 5 callersMethodencode
(self, x)
deeppy/autoencoder/stacked_autoencoder.py:71
↓ 5 callersFunctiongraph_funs
(src, sink, seed=1)
deeppy/misc/test.py:70
↓ 5 callersMethodloss
(self, target, x1, x2)
deeppy/siamese/loss.py:19
↓ 5 callersMethodsetup
(self, pred_shape, target_shape=None)
deeppy/loss.py:23
↓ 5 callersMethodsetup
(self)
deeppy/expr/nnet/spatial.py:142
↓ 5 callersMethodwrite
(self, data)
doc/sphinx_ext/gen_rst.py:68
↓ 4 callersMethod_batch_slices
(self)
deeppy/feed.py:33
↓ 4 callersMethod_batchwise
(self, feed, expr_fun)
deeppy/model/feedforward.py:37
↓ 4 callersFunction_require_op
(x)
deeppy/expr/base.py:8
↓ 4 callersMethodarray
(self)
deeppy/parameter.py:42
↓ 4 callersFunctioncheck_grad
Numerical gradient checking of layer bprop.
test/unit/feedforward/test_layers.py:61
↓ 4 callersMethodencode
(self, x)
deeppy/autoencoder/autoencoder.py:46
↓ 4 callersMethodfprop
(self)
deeppy/expr/nnet/spatial.py:147
↓ 4 callersMethodfprop
(self)
deeppy/model/adversarial.py:10
↓ 4 callersFunctionpadding
(win_shape, border_mode)
deeppy/feedforward/convnet_layers.py:8
↓ 4 callersFunctionplot_tile
(imgs, title)
examples/variational_autoencoder_mnist.py:65
↓ 4 callersMethodpredict
Calculate the output for the given input.
deeppy/model/feedforward.py:79
↓ 4 callersMethodsetup
(self)
deeppy/expr/graph/exprgraph.py:103
↓ 4 callersMethody_shape
(self, x_shape)
deeppy/siamese/loss.py:35
↓ 3 callersMethod_download
(self, url, sha1)
deeppy/dataset/celeba.py:48
↓ 3 callersMethod_softmax
(self, x)
deeppy/loss.py:48
↓ 3 callersFunctionavg_running_time
(fun, reps)
examples/profile_net.py:13
↓ 3 callersMethodbprop
(self)
deeppy/expr/nnet/spatial.py:150
↓ 3 callersMethodbprop
(self)
deeppy/model/adversarial.py:13
↓ 3 callersFunctionbuild_graph
(sinks)
deeppy/expr/graph/exprgraph.py:73
↓ 3 callersFunctioncheck_grad
Numerical gradient checking of loss functions.
test/unit/test_loss.py:12
↓ 3 callersFunctionconv_layer
(n_filters)
examples/profile_net.py:59
↓ 3 callersFunctionconv_layer
(n_filters)
examples/convnet_cifar.py:31
↓ 3 callersFunctioncopy
(graph)
deeppy/expr/graph/digraph.py:112
↓ 3 callersMethoddecode
(self, y)
deeppy/autoencoder/autoencoder.py:51
↓ 3 callersMethodfprop
(self)
deeppy/expr/graph/exprgraph.py:147
↓ 3 callersMethodfprop
(self, x)
deeppy/feedforward/convnet_layers.py:69
↓ 3 callersMethodinit_state
(self, param)
deeppy/train/learn_rules.py:64
↓ 3 callersFunctionpool_layer
()
examples/profile_net.py:67
↓ 3 callersFunctionpool_layer
()
examples/convnet_cifar.py:39
↓ 3 callersMethodreconstruct
Returns the reconstructed input.
deeppy/autoencoder/autoencoder.py:83
↓ 3 callersMethodremove_edge
(self, u, v)
deeppy/expr/graph/digraph.py:61
↓ 3 callersMethodsetup
(self)
deeppy/expr/nnet/batch_normalization.py:25
↓ 3 callersMethodstep
(self, param, state)
deeppy/train/learn_rules.py:70
↓ 2 callersMethod_affine
(self, n_out)
deeppy/model/variational_autoencoder.py:19
↓ 2 callersMethod_batchwise
(self, feed, expr_fun)
deeppy/model/variational_autoencoder.py:100
↓ 2 callersMethod_load_attributes
(self)
deeppy/dataset/lfw.py:251
↓ 2 callersMethod_message
(self, val)
deeppy/expr/util.py:38
↓ 2 callersFunction_require_list
(obj)
deeppy/expr/graph/exprgraph.py:43
↓ 2 callersFunctionallclose
(a, b, rtol=None, atol=None)
test/unit/feedforward/test_layers.py:14
↓ 2 callersMethodbatches
(self)
deeppy/feed.py:41
↓ 2 callersFunctioncheck_params
(layer)
test/unit/feedforward/test_layers.py:108
↓ 2 callersFunctionconv_layer
(n_filters)
examples/convnet_mnist.py:42
↓ 2 callersMethoddecode
(self, y)
deeppy/autoencoder/stacked_autoencoder.py:76
↓ 2 callersMethoddecode_bprop
(self, x_grad)
deeppy/autoencoder/autoencoder.py:56
↓ 2 callersMethodembed
Returns the embedding of the input.
deeppy/autoencoder/autoencoder.py:98
↓ 2 callersMethodencode_bprop
(self, y_grad)
deeppy/autoencoder/autoencoder.py:62
↓ 2 callersFunctionextract_docstring
Extract a module-level docstring, if any
doc/sphinx_ext/gen_rst.py:127
↓ 2 callersMethodfit
(self, x)
deeppy/preprocess/scalers.py:43
↓ 2 callersMethodfprop
(self, x)
deeppy/feedforward/neural_network.py:39
↓ 2 callersMethodfrom_any
(cls, arg)
deeppy/loss.py:11
↓ 2 callersFunctionfun
(x)
deeppy/misc/test.py:74
↓ 2 callersFunctionfun_grad
(x)
test/unit/feedforward/test_layers.py:71
↓ 2 callersMethodgrad
Returns the input gradient.
deeppy/loss.py:30
↓ 2 callersFunctionidentify_names
Builds a codeobj summary by identifying and resovles used names >>> code = ''' ... from a.b import c ... import d as e ... print(c)
doc/sphinx_ext/gen_rst.py:404
↓ 2 callersFunctionimg_out_shape
(img_shape, win_shape, stride, border_mode)
test/unit/feedforward/test_convnet_layers.py:21
↓ 2 callersFunctionpadding
(win_shape, border_mode)
deeppy/expr/nnet/spatial.py:7
↓ 2 callersFunctionplot_img
(img, title)
examples/mlp_mnist.py:68
↓ 2 callersFunctionplot_img
(img, title)
examples/autoencoders_mnist.py:86
↓ 2 callersFunctionpool_layer
()
examples/convnet_mnist.py:34
↓ 2 callersMethodsetup
(self)
deeppy/expr/nnet/affine.py:17
↓ 2 callersMethodsetup
(self)
deeppy/expr/graph/exprgraph.py:24
next →1–100 of 648, ranked by callers