両方とも前のリビジョン前のリビジョン | 次のリビジョン両方とも次のリビジョン |
ai:cntk [2018/11/03 21:50] – [CNTK] oga | ai:cntk [2018/11/03 21:51] – [Python] oga |
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- pip3 install cntk-gpu | - pip3 install cntk-gpu |
- pip3 install keras | - pip3 install keras |
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| ===== keras と channels_last ===== |
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| channels_last の場合 |
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| <code> |
| Composite(conv2d_1_input: Tensor[28,28,1]) -> Tensor[10] |
| Combine a (b:[b*](10,)) -> (b:[b*](10,)) |
| Softmax c (d:[b*](10,)) -> (b:[b*](10,)) |
| Plus e (f:[b*](10,), g:(10,)) -> (d:[b*](10,)) |
| Times h (i:[b*](128,), dense_2/kernel:(128, 10)) -> (f:[b*](10,)) |
| Select j (_keras_learning_phase:(), k:[b*](128,), l:[b*](128,)) -> (i:[b*](128,)) |
| Constant _keras_learning_phase () |
| Dropout m (l:[b*](128,)) -> (k:[b*](128,)) |
| ReLU n (o:[b*](128,)) -> (l:[b*](128,)) |
| Plus p (q:[b*](128,), r:(128,)) -> (o:[b*](128,)) |
| Times s (t:[b*](10816,), dense_1/kernel:(10816, 128)) -> (q:[b*](128,)) |
| Reshape u (v:[b*](13, 13, 64)) -> (t:[b*](10816,)) |
| Select w (_keras_learning_phase:(), x:[b*](13, 13, 64), y:[b*](13, 13, 64)) -> (v:[b*](13, 13, 64)) |
| Dropout z (y:[b*](13, 13, 64)) -> (x:[b*](13, 13, 64)) |
| TransposeAxes ba (bb:[b*](64, 13, 13)) -> (y:[b*](13, 13, 64)) |
| Pooling bc (bd:[b*](64, 26, 26)) -> (bb:[b*](64, 13, 13)) |
| TransposeAxes be (bf:[b*](26, 26, 64)) -> (bd:[b*](64, 26, 26)) |
| ReLU bg (bh:[b*](26, 26, 64)) -> (bf:[b*](26, 26, 64)) |
| Plus bi (bj:[b*](26, 26, 64), bk:(1, 1, 64)) -> (bh:[b*](26, 26, 64)) |
| TransposeAxes bl (bm:[b*](64, 26, 26)) -> (bj:[b*](26, 26, 64)) |
| Convolution bn (bo:(64, 32, 3, 3), bp:[b*](32, 28, 28)) -> (bm:[b*](64, 26, 26)) |
| TransposeAxes bq (conv2d_2/kernel:(3, 3, 32, 64)) -> (bo:(64, 32, 3, 3)) |
| Parameter conv2d_2/kernel (3, 3, 32, 64) |
| TransposeAxes br (bs:[b*](28, 28, 32)) -> (bp:[b*](32, 28, 28)) |
| ReLU bt (bu:[b*](28, 28, 32)) -> (bs:[b*](28, 28, 32)) |
| Plus bv (bw:[b*](28, 28, 32), bx:(1, 1, 32)) -> (bu:[b*](28, 28, 32)) |
| TransposeAxes by (bz:[b*](32, 28, 28)) -> (bw:[b*](28, 28, 32)) |
| Convolution ca (cb:(32, 1, 3, 3), cc:[b*](1, 28, 28)) -> (bz:[b*](32, 28, 28)) |
| TransposeAxes cd (conv2d_1/kernel:(3, 3, 1, 32)) -> (cb:(32, 1, 3, 3)) |
| Parameter conv2d_1/kernel (3, 3, 1, 32) |
| TransposeAxes ce (conv2d_1_input:[b*](28, 28, 1)) -> (cc:[b*](1, 28, 28)) |
| Input conv2d_1_input Input4 [b*](28, 28, 1) |
| Reshape cf (conv2d_1/bias:(32,)) -> (bx:(1, 1, 32)) |
| Parameter conv2d_1/bias (32,) |
| Reshape cg (conv2d_2/bias:(64,)) -> (bk:(1, 1, 64)) |
| Parameter conv2d_2/bias (64,) |
| Parameter dense_1/kernel (10816, 128) |
| Reshape ch (dense_1/bias:(128,)) -> (r:(128,)) |
| Parameter dense_1/bias (128,) |
| Parameter dense_2/kernel (128, 10) |
| Reshape ci (dense_2/bias:(10,)) -> (g:(10,)) |
| Parameter dense_2/bias (10,) |
| </code> |
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| channels_first の場合 |
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| <code> |
| Composite(conv2d_1_input: Tensor[1,28,28]) -> Tensor[10] |
| Combine a (b:[b*](10,)) -> (b:[b*](10,)) |
| Softmax c (d:[b*](10,)) -> (b:[b*](10,)) |
| Plus e (f:[b*](10,), g:(10,)) -> (d:[b*](10,)) |
| Times h (i:[b*](128,), dense_2/kernel:(128, 10)) -> (f:[b*](10,)) |
| Select j (_keras_learning_phase:(), k:[b*](128,), l:[b*](128,)) -> (i:[b*](128,)) |
| Constant _keras_learning_phase () |
| Dropout m (l:[b*](128,)) -> (k:[b*](128,)) |
| ReLU n (o:[b*](128,)) -> (l:[b*](128,)) |
| Plus p (q:[b*](128,), r:(128,)) -> (o:[b*](128,)) |
| Times s (t:[b*](10816,), dense_1/kernel:(10816, 128)) -> (q:[b*](128,)) |
| Reshape u (v:[b*](13, 13, 64)) -> (t:[b*](10816,)) |
| TransposeAxes w (x:[b*](64, 13, 13)) -> (v:[b*](13, 13, 64)) |
| Select y (_keras_learning_phase:(), z:[b*](64, 13, 13), ba:[b*](64, 13, 13)) -> (x:[b*](64, 13, 13)) |
| Dropout bb (ba:[b*](64, 13, 13)) -> (z:[b*](64, 13, 13)) |
| Pooling bc (bd:[b*](64, 26, 26)) -> (ba:[b*](64, 13, 13)) |
| ReLU be (bf:[b*](64, 26, 26)) -> (bd:[b*](64, 26, 26)) |
| Plus bg (bh:[b*](64, 26, 26), bi:(64, 1, 1)) -> (bf:[b*](64, 26, 26)) |
| Convolution bj (bk:(64, 32, 3, 3), bl:[b*](32, 28, 28)) -> (bh:[b*](64, 26, 26)) |
| TransposeAxes bm (conv2d_2/kernel:(3, 3, 32, 64)) -> (bk:(64, 32, 3, 3)) |
| Parameter conv2d_2/kernel (3, 3, 32, 64) |
| ReLU bn (bo:[b*](32, 28, 28)) -> (bl:[b*](32, 28, 28)) |
| Plus bp (bq:[b*](32, 28, 28), br:(32, 1, 1)) -> (bo:[b*](32, 28, 28)) |
| Convolution bs (bt:(32, 1, 3, 3), conv2d_1_input:[b*](1, 28, 28)) -> (bq:[b*](32, 28, 28)) |
| TransposeAxes bu (conv2d_1/kernel:(3, 3, 1, 32)) -> (bt:(32, 1, 3, 3)) |
| Parameter conv2d_1/kernel (3, 3, 1, 32) |
| Input conv2d_1_input Input4 [b*](1, 28, 28) |
| Reshape bv (conv2d_1/bias:(32,)) -> (br:(32, 1, 1)) |
| Parameter conv2d_1/bias (32,) |
| Reshape bw (conv2d_2/bias:(64,)) -> (bi:(64, 1, 1)) |
| Parameter conv2d_2/bias (64,) |
| Parameter dense_1/kernel (10816, 128) |
| Reshape bx (dense_1/bias:(128,)) -> (r:(128,)) |
| Parameter dense_1/bias (128,) |
| Parameter dense_2/kernel (128, 10) |
| Reshape by (dense_2/bias:(10,)) -> (g:(10,)) |
| Parameter dense_2/bias (10,) |
| </code> |
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