Wheelodex » Projects » keras

keras

View on PyPI — Reverse Dependencies (392)

2.3.1 Keras-2.3.1-py2.py3-none-any.whl

Wheel Details

Project: keras
Version: 2.3.1
Filename: Keras-2.3.1-py2.py3-none-any.whl
Download: [link]
Size: 377825
MD5: 8dc01e33d0b685cb3658f04d605c7211
SHA256: d08a57bd63546175f8f19232ba05906514d419da3e0af8ef7437fa1c11442e20
Uploaded: 2019-10-07 20:08:57 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: Keras
Version: 2.3.1
Summary: Deep Learning for humans
Author: Francois Chollet
Author-Email: francois.chollet[at]gmail.com
Home-Page: https://github.com/keras-team/keras
Download-Url: https://github.com/keras-team/keras/tarball/2.3.0
License: MIT
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: numpy (>=1.9.1)
Requires-Dist: scipy (>=0.14)
Requires-Dist: six (>=1.9.0)
Requires-Dist: pyyaml
Requires-Dist: h5py
Requires-Dist: keras-applications (>=1.0.6)
Requires-Dist: keras-preprocessing (>=1.0.5)
Requires-Dist: pytest; extra == "tests"
Requires-Dist: pytest-pep8; extra == "tests"
Requires-Dist: pytest-xdist; extra == "tests"
Requires-Dist: flaky; extra == "tests"
Requires-Dist: pytest-cov; extra == "tests"
Requires-Dist: pandas; extra == "tests"
Requires-Dist: requests; extra == "tests"
Requires-Dist: markdown; extra == "tests"
Requires-Dist: pydot (>=1.2.4); extra == "visualize"
Provides-Extra: tests
Provides-Extra: visualize
[Description omitted; length: 636 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
docs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
docs/autogen.py sha256=ibhlANP6QRcaaZkeZrSwqRIQUlb3KYmgIWcM14jCBts 17084
docs/structure.py sha256=DYOftmNuOpxkg4l6H0JGfj4zeONfrpzhAW9lphtTNPk 9391
keras/__init__.py sha256=n6LSyKhIXmQMmqc_6CD474SehPNMLD_3ATvcdiJr84Y 605
keras/activations.py sha256=UlXZrEcaI8w8sYSbRgFKDtVYkCEkgxGv3ZhJuKpcmJM 5993
keras/callbacks.py sha256=2_gNS14j2Uw2y31FH8P1_rOlq3khZbihqjJwwcUvauc 61585
keras/constraints.py sha256=9WMs78pqgMB7wTLmTxwBaY-eZ68V3sh5U5JPFn2A_DU 6157
keras/initializers.py sha256=alZNMG5JxkWZWyGhpRw2Xzyjom88kL-YNKUj6A5RF9E 16769
keras/losses.py sha256=mFtxwQ0ihdGi1wMIK4E8XqT-k4784Sb0FuEcBj9wbxg 27074
keras/metrics.py sha256=m22eCAB5ufFOtAS_whKdYdOkrz7DIgXik3Sb9-_2l1I 75504
keras/models.py sha256=EIIQZ-wPCblSaYXLK98HisaUFlYGvq3NQ-qXhT9ha64 10695
keras/objectives.py sha256=ck4Iw_cAo6AbKrOPBLBLFnSiVmICvhAbm9Ax-FTyBPM 138
keras/optimizers.py sha256=rwl0O9aECT-Wsgt13sCGY7lH8EbuJTZ2rbeOxQPNfIw 34198
keras/regularizers.py sha256=fDrQBnwcnAJJ8I1lEGz-ahS94kLoRXz9zU69DIIQdJw 2142
keras/applications/__init__.py sha256=vPD7BVdiRLuIRZUyyCWIfO-5a4cd_Mf4JckVapd7TwU 979
keras/applications/densenet.py sha256=TwzPxdficQQ7y-LtCBwVWIYiDsl3fkL8yF6TI_kvnr4 762
keras/applications/imagenet_utils.py sha256=iUDjMW_pXwu-nIeqytMFRyP19x4p9qN4HzmAGIBFsx0 531
keras/applications/inception_resnet_v2.py sha256=ovpXBlIQZWXL2JXw-H5SjRxyYSkIzk0NM8sn_2TF5eE 598
keras/applications/inception_v3.py sha256=BITCPk38X0HMAPKtLEzJ1JWNBOk6cNs4QwOpLwffag4 558
keras/applications/mobilenet.py sha256=IxO0puuYb9cIr9hHJWUqg0-beLQOv9LpNilNBZ7a4EE 542
keras/applications/mobilenet_v2.py sha256=a9F4Kfee3Z-65u1DEc9qQrDCopl8xyrmdzX32FXAWP0 558
keras/applications/nasnet.py sha256=ZWJGqHLE7VjWss2cguin-FtYhsFuTzmLnFDKwY_pR5E 644
keras/applications/resnet.py sha256=wRElkk6_zFG__0_TJN21T9nF0CNDX4JuibZfLPakZjk 771
keras/applications/resnet50.py sha256=CtH7ABKo9h8GwqiomkSXorK9I7x8uOCFsEtAtM0K_xg 536
keras/applications/resnet_v2.py sha256=xMR9A_QfM72ned1yTshK0r3ZUp3lIrKOaJBgNkzzhPE 804
keras/applications/vgg16.py sha256=0WVR3OQiicq1O1hlfXSabkMiBpNy-vSTAILYvS1mHR4 518
keras/applications/vgg19.py sha256=WrkmPzo48jZWJ8EnltHd0hHX7YETK9KKelYIkdOh6Mk 518
keras/applications/xception.py sha256=0DI2jqzltG0wNxXUqbE2b06TafX8utoCPdbAK0Sh2WU 536
keras/backend/__init__.py sha256=AHZGZ4txo6ND5DcJym1WmFUfP61tlPRgMYYEfZhaAUU 6157
keras/backend/cntk_backend.py sha256=KgVK0RsJ2YbirJuLyN7Yi1V59yNkV1khrOZwO57CBgE 92972
keras/backend/common.py sha256=a1jYpC4a8zid0UygzD_E5gjDrwfSFzpbGD2CZe9xbI4 5428
keras/backend/load_backend.py sha256=jZFho0Ry9WP5DsF2SM57gls4rsWRW4VBW3JuII6_Dto 3982
keras/backend/numpy_backend.py sha256=FbVWDH5CL9Ognl4diKlWXFA6qbHNL62iXUPbISTkfaY 20486
keras/backend/tensorflow_backend.py sha256=wttg6-SMRegZMWMAa2Rw5x-oeaqQKqO_Ii5sQYxhWlc 136664
keras/backend/theano_backend.py sha256=pf6_3GDrbtLdOBchwdfQte1_yfjPIhW39eFY29w4ux0 101768
keras/callbacks/__init__.py sha256=-jFsl8u9Sxa3D8GEIuiE1jwAxgbJLozVMr6-nPBocsE 714
keras/callbacks/callbacks.py sha256=s2_YXQ1eOh7TKllNl4Gst1fRmRHfsIin7_vY3V9IqcQ 45641
keras/callbacks/tensorboard_v1.py sha256=bfYxzEPibbWnSRwe44p8Y8Pf4Sc6QUUWFyjfYftEQ_I 16934
keras/callbacks/tensorboard_v2.py sha256=d2iBYDDUddUCIdYduwBJ1XEwbUuZCF6HRtDPUrk--9k 5447
keras/datasets/__init__.py sha256=5TieabOPRk6yBgnZ03YbuoOO5jT9YD-8HLJZRV-ZRBQ 203
keras/datasets/boston_housing.py sha256=aJ7PDSpSSFufIp86G-lL9XVBneo9Kc0a1bwPbnmcAvs 1429
keras/datasets/cifar.py sha256=aoDqdOw_X9r6zAu_YID7SM-8KBP_4WqcWujkRFgrnVM 966
keras/datasets/cifar10.py sha256=gecmucbzXfWqcqZrghZQl1hZMo_9iN5m6BSKW-NyTEE 1346
keras/datasets/cifar100.py sha256=vA8iloYiivHij_8AME85suHsoIoIeb2VgnipwgvcJxU 1391
keras/datasets/fashion_mnist.py sha256=pZhqNpPfpXhe637ea2V4csEsWy0l4lQMKr1bzWrivz0 1460
keras/datasets/imdb.py sha256=AIA-1FMJnVDvC0Z6-odpUxO6SZWMF3l4bqhlxqtq1_U 4458
keras/datasets/mnist.py sha256=SGit5WbocAlYCt1lura_e-ZmLzbGRLdCXAPXMhOZxOE 857
keras/datasets/reuters.py sha256=i8L8tEYs6Dcu1wlX1IUgeuXZPcBL1TO3-r-8Okxwjn0 3914
keras/engine/__init__.py sha256=Iy9Nu00d3yg0AnKfeDCFqZmw2dn0YqtJRWU528mKpIk 279
keras/engine/base_layer.py sha256=PzuI5XOX_-vRJ8BSa3xeHt6SvA5j4n9kgE3GL1HgqAA 58846
keras/engine/input_layer.py sha256=odPLcO6OJfrcg_wr1ynP2vijKgiHBgtopB3VVxRw-Gk 7502
keras/engine/network.py sha256=rTFcTsSEYUFZO_AmyzBlP2I9p_6Fu-K9s5F8yCpMGz8 62837
keras/engine/saving.py sha256=Mf78PzP_SfMyjVpkO9uNbHdPUMPo5St12zsGslEtIhs 54341
keras/engine/sequential.py sha256=whZHgXX2jKWXxLFem1vYCKrPcj5zgh_AVErNkjHuvEY 11248
keras/engine/topology.py sha256=C00a8ksSlNh8rI-YoenqR-MnwY1wDx2pbmEczzk7Wvo 217
keras/engine/training.py sha256=m0Nu7AKtrDqb8RLNxNGeQXVdzD0tv8tUNPXwn6ybZ3g 88494
keras/engine/training_arrays.py sha256=pAVySEEHb1v1SKAP4_BG4c8GzVORlIQ4CVoe6jpLt0s 19539
keras/engine/training_generator.py sha256=sE49wabp3qhFQBTKx75SBueGKqgN5lDUfx7zXdQaOpc 21895
keras/engine/training_utils.py sha256=yGAwN4yzIz0M0Nqa2e5RadjbS_Oc_d1EN48lnA2Mx0Q 42686
keras/layers/__init__.py sha256=0_3Kia8TKHMu-OaeUjlgyQkHIizHdqGgSUjq7rmWC1Q 5191
keras/layers/advanced_activations.py sha256=z5EifOQJBU38BGK9QR22lncD6JTe8tOBl5qi2e2y2Fo 10865
keras/layers/convolutional.py sha256=VClygRWCPUkeZ1t3KWN1ti2wO4x07G7Z-mrRzHzFdEA 115505
keras/layers/convolutional_recurrent.py sha256=oWiKajqkzJ7lOq9swCTZC4tC7c9NLLdZ8UM10_VCFrM 49300
keras/layers/core.py sha256=Gj1RHHSsk9wt1iU_c4yM17vyJjdL3yLIJYL_gmjUfbA 37248
keras/layers/cudnn_recurrent.py sha256=JOz-qmb_WxuSLHCuV8nUvKEgc3rqBaT54lT2GrOToZE 23084
keras/layers/embeddings.py sha256=PV__dEpPuBevbwp4WcDY8rQalh1tkXjGoxdyzZ5BNDA 6797
keras/layers/local.py sha256=-pzMZBwgtb809irUKB8KL5Bi4wcZm3l7XjmMTbMaXlY 18501
keras/layers/merge.py sha256=TBCNYszqqdrWosHVwn4zi1UyOxr5tSWuLmV4lv9Jjbk 24038
keras/layers/noise.py sha256=e3IqPvauiOfkXbSFUIoDb5LMh2s64BroPOhMU2ohmGI 6272
keras/layers/normalization.py sha256=RnmlMnKvDesRfnZNnSbuTEtdXegLdJgtgVzITh6D0TA 10133
keras/layers/pooling.py sha256=eQbVk8rkCaTehlY7mnf9vMoh2mJp-dKW8LhGVNuc4JQ 31570
keras/layers/recurrent.py sha256=ka7WVTNqc5k19zfYciD5nExodOZO5D-6SqhDF69Ste0 104715
keras/layers/wrappers.py sha256=wazWtA4SaMmEfPgIu8s_bKjKJIZwPpcmQ69heLV5nwE 26460
keras/legacy/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras/legacy/interfaces.py sha256=QpVHd8UMJe5Nx2TXYfVvimjebjxQOau_ahWSk7D0hBU 29754
keras/legacy/layers.py sha256=G1dav9sJJ24lWtSGEKGzuByYW3F3d9S-2OCqHaPF0dg 36709
keras/preprocessing/__init__.py sha256=E0MCaVhmdacF6PJaTECiiOkFkav96f12hHpZbrXGA7o 245
keras/preprocessing/image.py sha256=kBcAOEKyl0vH3vcM6PaPX2PyFZfj9mNHN-9h_9Z5AV0 25786
keras/preprocessing/sequence.py sha256=z00oM4w1S4_FJEOU3G6lG5HwwjrK5EfVspZCu_ZaQtE 3112
keras/preprocessing/text.py sha256=jTXQn_obx0JYn6SuHP3CWVNOl9ScpSzuR1Nyn98rxGk 378
keras/utils/__init__.py sha256=_DcQxwNGkbpuE1UiIEcZzM6MVYweMIFGFaRap-kYD9g 1053
keras/utils/conv_utils.py sha256=fJYluiDQ2fmIqOUUn5s3UG8NwtKxus1z9fJk9nEM4qk 6151
keras/utils/data_utils.py sha256=P0689zo-ZLrQY6ajmypJdWdnOqBcn-MXET7C2BC4mYw 25598
keras/utils/generic_utils.py sha256=6aukYG4Q4yQlM-i24rgdsBJxfWA7plxIuTt1DVd19o8 21533
keras/utils/io_utils.py sha256=aeK8BpPIUHVcoUDRjOvaEipVqOXGSX2QBbrgfWoUjzQ 14630
keras/utils/layer_utils.py sha256=eihJ6Z0XKWdBm06B2eOtCekewhdW57syPaP3D687TZc 10979
keras/utils/losses_utils.py sha256=ybbqAn6WjOoYnig0HqAjwp2xXigPMadrg9FG5uI-b6M 6660
keras/utils/metrics_utils.py sha256=Bp197A8YoQgDfpirm8ua8j4Q35ku-YyNzK7P7jQbmjw 11166
keras/utils/multi_gpu_utils.py sha256=CvLnl9_d53JfwDgiBidClpjzHcYTln2WhqoQOeXOJT8 9744
keras/utils/np_utils.py sha256=IE8RZ0bufG0ZE_worVZ13cNOo0lVjKttjv2xC3ItPZk 2103
keras/utils/test_utils.py sha256=3tNSDkBM2BQm1-5GDx3SUVIwKHTU_i0ZoB3kLEPekFU 11790
keras/utils/vis_utils.py sha256=gfX03g-0WvfKSZHBj4vjV5NkhaHgbR_3NcgSk_uOhCU 10165
keras/wrappers/__init__.py sha256=q3Lf8Tua-usHoB62XPwiQmW_evZX1Bt02wPQRVYUvhE 70
keras/wrappers/scikit_learn.py sha256=x9v57OKHCo3KktdzYoUBf_GyxABfV_NO28evtVdeKtQ 13204
Keras-2.3.1.dist-info/LICENSE sha256=4F2kxolr8s437FVN11867CrPdpXoUbDnigLj2TNvTe0 1616
Keras-2.3.1.dist-info/METADATA sha256=vDb0PI_rls78eA0TtX_4_fBVKVgtw13Ls9SsQ7jwoDI 2165
Keras-2.3.1.dist-info/WHEEL sha256=h_aVn5OB2IERUjMbi2pucmR_zzWJtk303YXvhh60NJ8 110
Keras-2.3.1.dist-info/top_level.txt sha256=AFieQgLw6gtBHGwB91CfW_JMicgw81YdCLiO6dNukJc 11
Keras-2.3.1.dist-info/RECORD — —

top_level.txt

docs
keras