nndlass/__init__.py,sha256=3Yg4msxZsTCX55EIjwy8gHx9NlJDErrXK2EPzgpZ-mU,873
nndlass/cnn_classifier.py,sha256=krSU-c7Uy9L3l26kUdoqbPhGVcQVYvA0Kis0O3TOIEc,42346
nndlass/lstm_classifier.py,sha256=TWulqvqT01U1-UuPuotjgX9677kPR6L3S1rZtRlMASY,32111
nndlass/utils.py,sha256=N941RDypV330zS7LhC47_U8gaBBXH46pEU6QnpX78q8,12279
nndlass/theory/__init__.py,sha256=-xpery31sRwyayIHHBS6NqNi5zUROwTkdtEpTll6Xk8,4972
nndlass/theory/guide.md,sha256=WoUytiqo1pR_XWjj-urmzbEQFe_VE8C3Ck_w3VjF0ko,6808
nndlass/theory/topic_01_mlp_forward_cnn_ops.md,sha256=P9-760wa4tURzHbJVuwZTZsfoDUMLwPvF1hXi8-Sv8M,4747
nndlass/theory/topic_02_mlp_cnn_ops_continued.md,sha256=CfWErPj6nbQ8JZ8N9d6ntk1pG3469Gp1k8uZ687D3Aw,3480
nndlass/theory/topic_03_confusion_matrix.md,sha256=aJ4Uo4xJ7ObcwiMadEUUn1l-j3Y1ZEXyhX-R-tGZt5k,3739
nndlass/theory/topic_04_bias_variance.md,sha256=5wPpFPcc0zU7LnNcDd2Xw9deyOFcoeXbsyYveHDj82I,4042
nndlass/theory/topic_05_cnn_convolution_pooling.md,sha256=OOCF2UlXGFbD1U3g-aNHdUlCzT3FiWAWTOh7XU1VSPo,3858
nndlass/theory/topic_06_backpropagation.md,sha256=ylEmZLgHOS1K2T9GJYmdgMG6ZE7bUKVE1jj2klEb7fs,5018
nndlass/theory/topic_07_uat_nfl.md,sha256=1bfEI9FTENUfQb6V-_DJOEtd5GiNf1ytNnghlz7XfXY,7063
nndlass/theory/topic_08_nndl_unit1.md,sha256=_fsxViJTNF8408I0UVJvqj9cpfBzdtsTAIBpmp3SOqY,9418
nndlass/theory/topic_09_computational_graphs.md,sha256=hPXTTUycTZU_GRlzETWJ9RFiH7hz5vBumYk5RoUOy8g,6797
nndlass/theory/topic_10_rnn_models.md,sha256=-_9fShoVg_2Qp5oGuwigdKdZZNzZv11NpB7aw9UYJys,6856
nndlass/theory/topic_11_lstm_gru_gates.md,sha256=tbku_Ap8V1_KVPy3QDYo10ZVxfhI1Z6S3OKAKDI5kE4,6290
nndlass-1.0.0.dist-info/licenses/LICENSE,sha256=WNK7tsTHo8OQBu5hgPy7SgovQrK5JSrNH-tbuihJy7A,1069
nndlass-1.0.0.dist-info/METADATA,sha256=pDHcexpF12QKg11eeLElBCaF-HyNBjXax9hUxvFOoAM,1625
nndlass-1.0.0.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
nndlass-1.0.0.dist-info/top_level.txt,sha256=UfdYoeay3qf7TQroksxWQv9Jby_XlqYiKWe7Ix7PfP8,8
nndlass-1.0.0.dist-info/RECORD,,
