Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Sign up
Appearance settings

Commit d2be1a3

Browse files
committed
Jupyter notebook update
1 parent f85f1d7 commit d2be1a3

File tree

1 file changed

+29
-37
lines changed

1 file changed

+29
-37
lines changed

‎example.ipynb

Lines changed: 29 additions & 37 deletions
Original file line numberDiff line numberDiff line change
@@ -24,29 +24,7 @@
2424
},
2525
{
2626
"cell_type": "code",
27-
"execution_count": 3,
28-
"metadata": {
29-
"collapsed": false
30-
},
31-
"outputs": [],
32-
"source": [
33-
"# this model makes no sense - just a visualization of this library\n",
34-
"model = Sequential()\n",
35-
"model.add(l.BatchNormalization(input_shape=(3, 32, 32)))\n",
36-
"model.add(l.Convolution2D(16, 3, 3, activation='relu'))\n",
37-
"model.add(l.Convolution2D(16, 3, 3, activation='relu'))\n",
38-
"model.add(l.MaxPooling2D((2, 2)))\n",
39-
"model.add(l.Convolution2D(16, 1, 1, activation='tanh'))\n",
40-
"model.add(l.Flatten())\n",
41-
"model.add(l.Dense(16))\n",
42-
"model.add(l.Dropout(0.5))\n",
43-
"model.add(l.Dense(3, activation='softmax'))\n",
44-
"\n"
45-
]
46-
},
47-
{
48-
"cell_type": "code",
49-
"execution_count": 4,
27+
"execution_count": 2,
5028
"metadata": {
5129
"collapsed": false
5230
},
@@ -62,28 +40,42 @@
6240
" ##### 3 32 32\n",
6341
" Convolution2D \\|/ ------------------- 448 0.8%\n",
6442
" relu ##### 16 30 30\n",
65-
" Convolution2D \\|/ ------------------- 2320 4.4%\n",
43+
" Convolution2D \\|/ ------------------- 2320 4.3%\n",
6644
" relu ##### 16 28 28\n",
6745
" MaxPooling2D YYYYY ------------------- 0 0.0%\n",
6846
" ##### 16 14 14\n",
6947
" Convolution2D \\|/ ------------------- 272 0.5%\n",
7048
" tanh ##### 16 14 14\n",
7149
" Flatten ||||| ------------------- 0 0.0%\n",
72-
" ##### 3136\n",
50+
" ##### 3136\n",
7351
" Dense XXXXX ------------------- 50192 94.1%\n",
74-
" ##### 16\n",
52+
" ##### 16\n",
7553
" Dropout | || ------------------- 0 0.0%\n",
76-
" ##### 16\n",
77-
" Dense XXXXX ------------------- 34 0.1%\n",
78-
" ##### 2\n"
54+
" ##### 16\n",
55+
" Dense XXXXX ------------------- 51 0.1%\n",
56+
" softmax ##### 3\n"
7957
]
8058
}
8159
],
82-
"source": []
60+
"source": [
61+
"# this model makes no sense - just a visualization of this library\n",
62+
"model = Sequential()\n",
63+
"model.add(l.BatchNormalization(input_shape=(3, 32, 32)))\n",
64+
"model.add(l.Convolution2D(16, 3, 3, activation='relu'))\n",
65+
"model.add(l.Convolution2D(16, 3, 3, activation='relu'))\n",
66+
"model.add(l.MaxPooling2D((2, 2)))\n",
67+
"model.add(l.Convolution2D(16, 1, 1, activation='tanh'))\n",
68+
"model.add(l.Flatten())\n",
69+
"model.add(l.Dense(16))\n",
70+
"model.add(l.Dropout(0.5))\n",
71+
"model.add(l.Dense(3, activation='softmax'))\n",
72+
"\n",
73+
"sequential_model_to_ascii_printout(model)"
74+
]
8375
},
8476
{
8577
"cell_type": "code",
86-
"execution_count": 5,
78+
"execution_count": 3,
8779
"metadata": {
8880
"collapsed": false
8981
},
@@ -134,13 +126,13 @@
134126
" MaxPooling2D YYYYY ------------------- 0 0.0%\n",
135127
" ##### 512 7 7\n",
136128
" Flatten ||||| ------------------- 0 0.0%\n",
137-
" ##### 25088\n",
129+
" ##### 25088\n",
138130
" Dense XXXXX ------------------- 102764544 74.3%\n",
139-
" relu ##### 4096\n",
131+
" relu ##### 4096\n",
140132
" Dense XXXXX ------------------- 16781312 12.1%\n",
141-
" relu ##### 4096\n",
133+
" relu ##### 4096\n",
142134
" Dense XXXXX ------------------- 4097000 3.0%\n",
143-
" softmax ##### 1000\n"
135+
" softmax ##### 1000\n"
144136
]
145137
}
146138
],
@@ -151,7 +143,7 @@
151143
},
152144
{
153145
"cell_type": "code",
154-
"execution_count": 6,
146+
"execution_count": 4,
155147
"metadata": {
156148
"collapsed": false
157149
},
@@ -163,7 +155,7 @@
163155
"traceback": [
164156
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
165157
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
166-
"\u001b[0;32m<ipython-input-6-d46262532051>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
158+
"\u001b[0;32m<ipython-input-4-d46262532051>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
167159
"\u001b[0;31mNameError\u001b[0m: name 'z' is not defined"
168160
]
169161
}

0 commit comments

Comments
(0)

AltStyle によって変換されたページ (->オリジナル) /