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rasbtrasbt
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some typo fixes
1 parent f5916f8 commit 5121ea8

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Lines changed: 16 additions & 16 deletions

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‎code/ch14/images/14_04.png‎

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‎code/ch14/images/14_05.png‎

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‎code/ch15/ch15.ipynb‎

Lines changed: 16 additions & 16 deletions
Original file line numberDiff line numberDiff line change
@@ -741,7 +741,7 @@
741741
"<tf.Variable 'convtest/_weights:0' shape=(3, 3, 1, 32) dtype=float32_ref>\n",
742742
"<tf.Variable 'convtest/_biases:0' shape=(32,) dtype=float32_ref>\n",
743743
"Tensor(\"convtest/Conv2D:0\", shape=(?, 28, 28, 32), dtype=float32)\n",
744-
"Tensor(\"convtest/net_pre-activaiton:0\", shape=(?, 28, 28, 32), dtype=float32)\n",
744+
"Tensor(\"convtest/net_pre-activation:0\", shape=(?, 28, 28, 32), dtype=float32)\n",
745745
"Tensor(\"convtest/activation:0\", shape=(?, 28, 28, 32), dtype=float32)\n"
746746
]
747747
}
@@ -779,7 +779,7 @@
779779
" padding=padding_mode)\n",
780780
" print(conv)\n",
781781
" conv = tf.nn.bias_add(conv, biases, \n",
782-
" name='net_pre-activaiton')\n",
782+
" name='net_pre-activation')\n",
783783
" print(conv)\n",
784784
" conv = tf.nn.relu(conv, name='activation')\n",
785785
" print(conv)\n",
@@ -808,7 +808,7 @@
808808
"<tf.Variable 'fctest/_weights:0' shape=(784, 32) dtype=float32_ref>\n",
809809
"<tf.Variable 'fctest/_biases:0' shape=(32,) dtype=float32_ref>\n",
810810
"Tensor(\"fctest/MatMul:0\", shape=(?, 32), dtype=float32)\n",
811-
"Tensor(\"fctest/net_pre-activaiton:0\", shape=(?, 32), dtype=float32)\n",
811+
"Tensor(\"fctest/net_pre-activation:0\", shape=(?, 32), dtype=float32)\n",
812812
"Tensor(\"fctest/activation:0\", shape=(?, 32), dtype=float32)\n"
813813
]
814814
}
@@ -835,7 +835,7 @@
835835
" layer = tf.matmul(input_tensor, weights)\n",
836836
" print(layer)\n",
837837
" layer = tf.nn.bias_add(layer, biases,\n",
838-
" name='net_pre-activaiton')\n",
838+
" name='net_pre-activation')\n",
839839
" print(layer)\n",
840840
" if activation_fn is None:\n",
841841
" return layer\n",
@@ -1027,28 +1027,28 @@
10271027
"<tf.Variable 'conv_1/_weights:0' shape=(5, 5, 1, 32) dtype=float32_ref>\n",
10281028
"<tf.Variable 'conv_1/_biases:0' shape=(32,) dtype=float32_ref>\n",
10291029
"Tensor(\"conv_1/Conv2D:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
1030-
"Tensor(\"conv_1/net_pre-activaiton:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
1030+
"Tensor(\"conv_1/net_pre-activation:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
10311031
"Tensor(\"conv_1/activation:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
10321032
"\n",
10331033
"Building 2nd layer: \n",
10341034
"<tf.Variable 'conv_2/_weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>\n",
10351035
"<tf.Variable 'conv_2/_biases:0' shape=(64,) dtype=float32_ref>\n",
10361036
"Tensor(\"conv_2/Conv2D:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
1037-
"Tensor(\"conv_2/net_pre-activaiton:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
1037+
"Tensor(\"conv_2/net_pre-activation:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
10381038
"Tensor(\"conv_2/activation:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
10391039
"\n",
10401040
"Building 3rd layer:\n",
10411041
"<tf.Variable 'fc_3/_weights:0' shape=(1024, 1024) dtype=float32_ref>\n",
10421042
"<tf.Variable 'fc_3/_biases:0' shape=(1024,) dtype=float32_ref>\n",
10431043
"Tensor(\"fc_3/MatMul:0\", shape=(?, 1024), dtype=float32)\n",
1044-
"Tensor(\"fc_3/net_pre-activaiton:0\", shape=(?, 1024), dtype=float32)\n",
1044+
"Tensor(\"fc_3/net_pre-activation:0\", shape=(?, 1024), dtype=float32)\n",
10451045
"Tensor(\"fc_3/activation:0\", shape=(?, 1024), dtype=float32)\n",
10461046
"\n",
10471047
"Building 4th layer:\n",
10481048
"<tf.Variable 'fc_4/_weights:0' shape=(1024, 10) dtype=float32_ref>\n",
10491049
"<tf.Variable 'fc_4/_biases:0' shape=(10,) dtype=float32_ref>\n",
10501050
"Tensor(\"fc_4/MatMul:0\", shape=(?, 10), dtype=float32)\n",
1051-
"Tensor(\"fc_4/net_pre-activaiton:0\", shape=(?, 10), dtype=float32)\n"
1051+
"Tensor(\"fc_4/net_pre-activation:0\", shape=(?, 10), dtype=float32)\n"
10521052
]
10531053
}
10541054
],
@@ -1158,28 +1158,28 @@
11581158
"<tf.Variable 'conv_1/_weights:0' shape=(5, 5, 1, 32) dtype=float32_ref>\n",
11591159
"<tf.Variable 'conv_1/_biases:0' shape=(32,) dtype=float32_ref>\n",
11601160
"Tensor(\"conv_1/Conv2D:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
1161-
"Tensor(\"conv_1/net_pre-activaiton:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
1161+
"Tensor(\"conv_1/net_pre-activation:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
11621162
"Tensor(\"conv_1/activation:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
11631163
"\n",
11641164
"Building 2nd layer: \n",
11651165
"<tf.Variable 'conv_2/_weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>\n",
11661166
"<tf.Variable 'conv_2/_biases:0' shape=(64,) dtype=float32_ref>\n",
11671167
"Tensor(\"conv_2/Conv2D:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
1168-
"Tensor(\"conv_2/net_pre-activaiton:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
1168+
"Tensor(\"conv_2/net_pre-activation:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
11691169
"Tensor(\"conv_2/activation:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
11701170
"\n",
11711171
"Building 3rd layer:\n",
11721172
"<tf.Variable 'fc_3/_weights:0' shape=(1024, 1024) dtype=float32_ref>\n",
11731173
"<tf.Variable 'fc_3/_biases:0' shape=(1024,) dtype=float32_ref>\n",
11741174
"Tensor(\"fc_3/MatMul:0\", shape=(?, 1024), dtype=float32)\n",
1175-
"Tensor(\"fc_3/net_pre-activaiton:0\", shape=(?, 1024), dtype=float32)\n",
1175+
"Tensor(\"fc_3/net_pre-activation:0\", shape=(?, 1024), dtype=float32)\n",
11761176
"Tensor(\"fc_3/activation:0\", shape=(?, 1024), dtype=float32)\n",
11771177
"\n",
11781178
"Building 4th layer:\n",
11791179
"<tf.Variable 'fc_4/_weights:0' shape=(1024, 10) dtype=float32_ref>\n",
11801180
"<tf.Variable 'fc_4/_biases:0' shape=(10,) dtype=float32_ref>\n",
11811181
"Tensor(\"fc_4/MatMul:0\", shape=(?, 10), dtype=float32)\n",
1182-
"Tensor(\"fc_4/net_pre-activaiton:0\", shape=(?, 10), dtype=float32)\n",
1182+
"Tensor(\"fc_4/net_pre-activation:0\", shape=(?, 10), dtype=float32)\n",
11831183
"Loading model from ./model/\n",
11841184
"INFO:tensorflow:Restoring parameters from ./model/cnn-model.ckpt-20\n",
11851185
"Test Accuracy: 99.310%\n"
@@ -1335,28 +1335,28 @@
13351335
"<tf.Variable 'conv_1/_weights:0' shape=(5, 5, 1, 32) dtype=float32_ref>\n",
13361336
"<tf.Variable 'conv_1/_biases:0' shape=(32,) dtype=float32_ref>\n",
13371337
"Tensor(\"conv_1/Conv2D:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
1338-
"Tensor(\"conv_1/net_pre-activaiton:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
1338+
"Tensor(\"conv_1/net_pre-activation:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
13391339
"Tensor(\"conv_1/activation:0\", shape=(?, 24, 24, 32), dtype=float32)\n",
13401340
"\n",
13411341
"Building 2nd layer: \n",
13421342
"<tf.Variable 'conv_2/_weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>\n",
13431343
"<tf.Variable 'conv_2/_biases:0' shape=(64,) dtype=float32_ref>\n",
13441344
"Tensor(\"conv_2/Conv2D:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
1345-
"Tensor(\"conv_2/net_pre-activaiton:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
1345+
"Tensor(\"conv_2/net_pre-activation:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
13461346
"Tensor(\"conv_2/activation:0\", shape=(?, 8, 8, 64), dtype=float32)\n",
13471347
"\n",
13481348
"Building 3rd layer:\n",
13491349
"<tf.Variable 'fc_3/_weights:0' shape=(1024, 1024) dtype=float32_ref>\n",
13501350
"<tf.Variable 'fc_3/_biases:0' shape=(1024,) dtype=float32_ref>\n",
13511351
"Tensor(\"fc_3/MatMul:0\", shape=(?, 1024), dtype=float32)\n",
1352-
"Tensor(\"fc_3/net_pre-activaiton:0\", shape=(?, 1024), dtype=float32)\n",
1352+
"Tensor(\"fc_3/net_pre-activation:0\", shape=(?, 1024), dtype=float32)\n",
13531353
"Tensor(\"fc_3/activation:0\", shape=(?, 1024), dtype=float32)\n",
13541354
"\n",
13551355
"Building 4th layer:\n",
13561356
"<tf.Variable 'fc_4/_weights:0' shape=(1024, 10) dtype=float32_ref>\n",
13571357
"<tf.Variable 'fc_4/_biases:0' shape=(10,) dtype=float32_ref>\n",
13581358
"Tensor(\"fc_4/MatMul:0\", shape=(?, 10), dtype=float32)\n",
1359-
"Tensor(\"fc_4/net_pre-activaiton:0\", shape=(?, 10), dtype=float32)\n"
1359+
"Tensor(\"fc_4/net_pre-activation:0\", shape=(?, 10), dtype=float32)\n"
13601360
]
13611361
}
13621362
],

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