質問編集履歴
2
質問内容の修正
test
CHANGED
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File without changes
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test
CHANGED
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@@ -85,3 +85,33 @@
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85
85
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上記のコードで畳み込み2層目後の特徴マップを取得したいと考えております。
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86
86
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87
87
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どなたかよろしくお願い致します。
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88
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+
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89
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+
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90
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+
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91
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+
ちなみに下のコードが畳み込み1層目後の特徴マップの可視化です。
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92
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+
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93
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+
```
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94
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+
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95
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+
from tensorflow.keras.models import Model
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96
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+
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97
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+
layer_outputs = [layer.output for layer in model.layers[1:2]]
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98
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+
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99
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+
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100
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+
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101
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+
activation_model = Model(inputs=model.input, outputs=layer_outputs)
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102
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+
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103
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activations = activation_model.predict(X_test)
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104
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+
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105
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+
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106
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+
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107
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print(activations.shape)
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108
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+
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109
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+
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110
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+
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111
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結果
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112
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+
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113
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+
(867, 28, 28, 8)
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114
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+
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115
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+
コード
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116
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+
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117
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+
```
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1
エラーコードの修正
test
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File without changes
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test
CHANGED
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@@ -40,8 +40,6 @@
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40
40
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41
41
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activations = activation_model.predict(X_test)
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42
42
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43
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-
print(activations.shape)
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44
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-
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45
43
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im=activations[0,:,:,0]
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46
44
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print(im)
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@@ -52,25 +50,23 @@
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52
50
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53
51
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```
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54
52
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55
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-
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53
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+
---------------------------------------------------------------------------
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56
54
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57
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-
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55
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+
TypeError Traceback (most recent call last)
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58
56
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59
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-
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57
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+
<ipython-input-174-e5532a1630cb> in <module>
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60
58
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61
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6 activations = activation_model.predict(X_test)
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62
60
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63
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-
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61
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+
7
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64
62
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65
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-
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63
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+
----> 8 im=activations[0,:,:,0]
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66
64
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67
65
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9 print(im)
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68
66
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69
67
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70
68
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71
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-
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69
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+
TypeError: list indices must be integers or slices, not tuple
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72
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-
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|
73
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-
コード
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74
70
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75
71
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```
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76
72
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|