grand_lantern/Model.py,sha256=fMeX8VP3rhGE_6aYm5DvN2dt8XIRsEpaXQb-V9u9jnM,4255
grand_lantern/__init__.py,sha256=BTprjNAEkpytYPMeYFZlgpgErcVS1jtEuUFl_RF5a-U,87
grand_lantern/dataiterators/DatasetIterators.py,sha256=avNLUMAZYPrQtze85fjWFoSy8d7NGD9S9WfN2IvinKg,1532
grand_lantern/dataiterators/Datasets.py,sha256=8vtcMrOrLfeW60gR1ByQ_wZSmWriqoxCJocR05AJjLw,1214
grand_lantern/dataiterators/__init__.py,sha256=c30E1fXcQPHl5g9kmVpntkaL7LJObUPaRyKTDY0OlyE,56
grand_lantern/layers/Activation.py,sha256=_ogEFaYC8WDOL3AnSBusdlMYx7Dh-lN9yO5BoAhC4Q0,1275
grand_lantern/layers/Layers.py,sha256=SdH7PLXUdT6aCjJzphWxGHOW6yxP2smxl84uST_xz0A,6792
grand_lantern/layers/__init__.py,sha256=6xfkUbS13U4UGfU9qSyZgW1SSCJugAJj9Ga4pUU6IjE,48
grand_lantern/matrix/Matrix.py,sha256=8BQEXD__ESsd4zly8pGNV99EUCB3WONVff78CJpTGdE,17481
grand_lantern/matrix/__init__.py,sha256=n-Ha9l2ErAqb-MzuRIe0lsZbSsNQTy58uP9FSo2sL4c,22
grand_lantern/metrics/Loss.py,sha256=cWDPuHLB1mIlSM3e1Wh91EVIKodHZm34lyO59ujtuR4,553
grand_lantern/metrics/Metric.py,sha256=MuL2vhT4aNcFw3Ybi0fJ_wFfeA6TXOnXVK2_jR6j5Ls,946
grand_lantern/metrics/__init__.py,sha256=elBrW0-Rjd7VrJ8L-yqjro-07WaBbZrtnXk1EZ-p49A,42
grand_lantern/optimizers/Optimizers.py,sha256=bMWmBDXPKAu3SaeSLh6RTWBbubO2GTY5P7g52EKIEvk,3256
grand_lantern/optimizers/__init__.py,sha256=hc90RXZSmDT64_WG7CyZtvbDFBL1x-oXq6TBP74kr-8,26
grandlantern/Model.py,sha256=Jzm0MeRrvU7DbKIZUr8mAE87S6qlOoE2yaq6-hTFOBQ,4291
grandlantern/__init__.py,sha256=ZuPMiG8G2O7wkBHEHk2jl8SJo0MpBiuNxlihcaICLTk,112
grandlantern/dataiterators/DatasetIterators.py,sha256=7TkNFzTCVFOy2FNbll2ae14GjLiZylkDl9JagzGn_Xs,1296
grandlantern/dataiterators/Datasets.py,sha256=EawD4q44f76a3rfVuB9mDHbtgfwbvGOP7Flh0TgZlVM,2041
grandlantern/dataiterators/__init__.py,sha256=FHrP9FNoNGi7f4cxMaBYmoDwoAbOJdGikbJE1wEpFOc,123
grandlantern/layers/Activation.py,sha256=I6nBSkbud2wAo9HfJh2aoMsGQwTt5CxrtwK1diBV81I,1300
grandlantern/layers/Layers.py,sha256=PvrhMAjo8yJnGYK7qsys-NdgyfOJH4JmO95iW7p5mZY,7201
grandlantern/layers/__init__.py,sha256=Fg53gJ0itChaTWe4E05bdl4cBp0TNzaeR3jaWfQYy6s,198
grandlantern/matrix/Matrix.py,sha256=2FLOQA-qZOqFBDffYjPBd30wMySAODZa78fMO4kOHX4,18330
grandlantern/matrix/__init__.py,sha256=jm-f3-R7xNvYjBC2A9l7Q8N8AEGlKq5pRsT04QJGN7M,28
grandlantern/metrics/Loss.py,sha256=3ZkWoO5Vd6N_oK4Pcyoh_y1b2_sHWRhRfO6jZOrCWvg,578
grandlantern/metrics/Metric.py,sha256=cns8zp24rCl0gQhzj0e_2R9uLQVXQj4Yv5mM3YGd8fM,927
grandlantern/metrics/__init__.py,sha256=0EpI0dLHhAm8PmKczz8SJ6V8A7CtnVcKjRZ4xtOxRwQ,100
grandlantern/optimizers/Optimizers.py,sha256=Brlwvndrq0v1SU8eUYv6t6w4yfvhGT_dlu_NW3WQRpg,3281
grandlantern/optimizers/__init__.py,sha256=FPiKiI_wMG3_ufaU5vHaxos885WJSbQWH-CsB24XGcw,60
grandlantern-0.0.12.dist-info/LICENCE,sha256=AUOvu-aWD_I_tONU7xSFrOZzetQ9yFJltoAQ4jvy4Nc,1066
grandlantern-0.0.12.dist-info/METADATA,sha256=XquZoXHKZmpjWysXeKutD_lPjhZXSrRBi6LDqf4djEA,3621
grandlantern-0.0.12.dist-info/WHEEL,sha256=tZoeGjtWxWRfdplE7E3d45VPlLNQnvbKiYnx7gwAy8A,92
grandlantern-0.0.12.dist-info/top_level.txt,sha256=3oKKyzG8vMBMxM6cBzDxtyC1KoGkVc8m878HvFQJrDI,13
grandlantern-0.0.12.dist-info/RECORD,,
