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[/] [keras_to_fpga/] [trunk/] [src/] [mnist_mlp/] [predict.txt] - Blame information for rev 2

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Line No. Rev Author Line
1 2 qaztronic
60000 train samples
2
10000 test samples
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_________________________________________________________________
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Layer (type)                 Output Shape              Param #
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=================================================================
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dense (Dense)                (None, 128)               100480
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_________________________________________________________________
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dropout (Dropout)            (None, 128)               0
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_________________________________________________________________
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dense_1 (Dense)              (None, 64)                8256
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_________________________________________________________________
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dropout_1 (Dropout)          (None, 64)                0
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_________________________________________________________________
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dense_2 (Dense)              (None, 32)                2080
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_________________________________________________________________
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dense_3 (Dense)              (None, 16)                528
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_________________________________________________________________
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dense_4 (Dense)              (None, 32)                544
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_________________________________________________________________
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dense_5 (Dense)              (None, 64)                2112
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_________________________________________________________________
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dropout_2 (Dropout)          (None, 64)                0
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_________________________________________________________________
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dense_6 (Dense)              (None, 10)                650
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=================================================================
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Total params: 114,650
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Trainable params: 114,650
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Non-trainable params: 0
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_________________________________________________________________
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(10000, 784)
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(4, 784)
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[[-24.627508  -30.246864  -20.451105  -18.435604  -21.436897  -25.472689
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  -28.866714    8.538939  -36.105785  -22.093906 ]
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 [-27.56242   -47.02973     9.170985  -20.110716  -48.447334  -50.65312
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  -61.242958  -22.395094  -29.388113  -34.523716 ]
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 [-41.797768    7.31824   -15.338296  -24.574656  -16.356241  -28.517366
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  -32.625538  -17.508242  -21.08763   -20.823975 ]
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 [ 15.673646  -71.93045   -15.023145  -36.031307  -45.676743  -18.350279
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  -20.018438  -12.036947  -44.007183  -14.5659895]]

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