基于Theano的机器学习库Pylearn2.zip （750个子文件） 
readme.1rst 37B conv.conf 402B mlp.conf 270B theme.conf 69B solar.css 6KB solarized-dark.css 4KB test.csv 16B img_acts.cu 217KB img_acts.cu 217KB conv_util.cu 156KB raw_img_acts.cu 141KB filter_acts.cu 105KB weight_acts.cu 87KB weight_acts.cu 79KB nvmatrix.cu 37KB filter_acts.cu 36KB nvmatrix_kernels.cu 3KB conv_util.cuh 62KB pool_rop.cuh 31KB nvmatrix_kernels.cuh 25KB nvmatrix.cuh 20KB cudaconv2.cuh 9KB nvmatrix_operators.cuh 9KB weight_acts.cuh 3KB dataset-get 183B do_nightly_build 3KB getscript 125B .gitignore 615B cutil.h 46KB cutil_inline_runtime.h 17KB cutil_inline_drvapi.h 13KB drvapi_error_string.h 11KB helper_string.h 10KB cutil_inline.h 1KB cutil_inline_bankchecker.h 953B
layout.html 1KB MANIFEST.in 44B multilayer_perceptron.ipynb 1.65MB stacked_autoencoders.ipynb 198KB convolutional_network.ipynb 190KB softmax_regression.ipynb 143KB jobman_integration.ipynb 28KB train_gae.ipynb 2KB
ff40c2792e53fdbc3bc849028f304c00.jpg 142KB ff9e25c7a059d40866fdb6848ed75134.jpg 67KB ff3b264a0ccf9b366e87f4b8eeb1c3a4.jpg 56KB ff749d5d9c03e59b6cb4b09081df95df.jpg 53KB ff7edaf73cb4a5f6ca6fc7341a59a618.jpg 42KB ff8c52a9e96d57fa35e6c6b7959cc70a.jpg 38KB ff91bb2abc9b4225711bd45941c304d3.jpg 37KB ff455d3fb4e8bebb5ea14dcb6630d32d.jpg 36KB ffa361ac89f7ecd07a313b672a752c20.jpg 29KB ffb68ce0546a24f0dd4a52cb7b95a1b6.jpg 21KB ff6848ee9d56b4dc36376f4b998662fe.jpg 20KB ff191fc088d491f6b54871339f114b7f.jpg 14KB ff009bf24412862511cf7eeeab5aa134.jpg 12KB ff9c870d7f75c979c8ae200f5cd5d246.jpg 3KB ff26a864b8b8ee1aa01413a4fc7b2b93.jpg 3KB ffbea58fd0203a343f87ad4e799e9fa0.jpg 2KB mnist0.jpg 582B double_3tensor.lushbin 212B int_3tensor.lushbin 116B float_3tensor.lushbin 116B ubyte_3tensor.lushbin 44B ubyte_scalar.lushbin 21B mnd.lyx 6KB mnistvh.mat 95KB dbm.mat 1KB dbm_data.mat 380B notes 983B
subtle_dots.png 1KB postinst 164B postrm 134B prerm 135B mlp.py 162KB layer.py 124KB __init__.py 98KB s3c.py 78KB pep8.py 75KB dbm.py 67KB test_sgd.py 60KB preprocessing.py 59KB rbm.py 57KB inference_procedure.py 57KB test_space.py 57KB dense_design_matrix.py 55KB maxout.py 55KB test_mlp.py 54KB ising.py 54KB monitor.py 49KB sgd.py 47KB test_dbm.py 37KB dataset-get.py 36KB gsn.py 35KB iteration.py 35KB new_norb.py 34KB probabilistic_max_pooling.py 33KB rnn.py 29KB pca.py 28KB autoencoder.py 28KB共 750 条
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