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Functions224 in github.com/ahangchen/GDLnotes

Functiondownload_progress_hook
A hook to report the progress of a download. This is mostly intended for users with slow internet connections. Reports every 1% change in download
src/not_mnist/load_data.py:24
Functionfit_trend
(hypers, loss_es)
src/util/request.py:53
Functionimgs_idx_except
(left, right)
src/not_mnist/clean_overlap.py:64
Functionlist_except
(objs, idxs)
src/not_mnist/clean_overlap.py:88
Functionmain
(_)
src/distrib.py:16
Functionmain
(unused_argv)
src/skflow/skflow_cnn.py:122
Functionnet
(data_path, input_image)
src/app/neural_style/vgg.py:8
Functionprepare_wmt_data
Get WMT data into data_dir, create vocabularies and tokenize data. Args: data_dir: directory in which the data sets will be stored. en_voca
src/rnn/data_utils.py:247
Functionpreprocess
(image, mean_pixel)
src/app/neural_style/vgg.py:61
Functionrnn_model
(X, y)
src/skflow/skflow_rnn.py:36
Methodsampled_loss
(labels, logits)
src/rnn/seq2seq_model.py:103
Methodseq2seq_f
(encoder_inputs, decoder_inputs, do_decode)
src/rnn/seq2seq_model.py:132
Methodsingle_cell
()
src/rnn/seq2seq_model.py:122
Functiontest_img_diff
()
src/not_mnist/clean_overlap.py:22
Functiontest_imgs_diff
()
src/not_mnist/clean_overlap.py:56
Functiontf_better_nn
(offset_range=-1, regular=False, drop_out=False, lrd=False)
src/neural/nn_overfit.py:9
Functiontf_logist
()
src/neural/full_connect.py:20
Functiontf_sgd
()
src/neural/full_connect.py:89
Functionunprocess
(image, mean_pixel)
src/app/neural_style/vgg.py:65
Functionvalid_hp
(hps)
src/optimize/cnn_long_optimize.py:141
Functionvalid_hp
(hps)
src/optimize/cnn_prophet.py:191
Functionvalid_hp
(hps)
src/optimize/random_param_cnn.py:146
Functionvariable_summaries
Attach a lot of summaries to a Tensor.
src/util/board.py:4
Functionwrite
(path, content)
src/util/file_helper.py:1
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