1 Model created
  2 ____________________________________________________________________________________________________
  3 Layer (type) Output Shape Param # Connected to 
  4 ====================================================================================================
  5 input_1 (InputLayer) (None, 32
 
, 32, 3) 0 
  6 ____________________________________________________________________________________________________
  7 initial_conv2D (Convolution2D) (None, 32, 32, 24) 648 input_1[0][0] 
  8 ____________________________________________________________________________________________________
  9 batchnormalization_1 (BatchNorma (None, 32
 
, 32, 24) 96 initial_conv2D[0][0] 
 10 ____________________________________________________________________________________________________
 11 activation_1 (Activation) (None, 32, 32, 24) 0 batchnormalization_1[0][0] 
 12 ____________________________________________________________________________________________________
 
 13 convolution2d_1 (Convolution2D) (None, 32, 32, 48) 1152 activation_1[0][0] 
 14 ____________________________________________________________________________________________________
 15 batchnormalization_2 (BatchNorma (None, 32, 32, 48) 192 convolution2d_1[0][0] 
 16 ____________________________________________________________________________________________________
 17 activation_2 (Activation) (None, 32, 32, 48) 0 batchnormalization_2[0][0] 
 18 ____________________________________________________________________________________________________
 19 convolution2d_2 (Convolution2D) (None, 32, 32, 12) 5184 activation_2[0][0] 
 20 ____________________________________________________________________________________________________
 21 merge_1 (Merge) (None, 32, 32, 36) 0 initial_conv2D[0][0] 
 22 convolution2d_2[0][0] 
 23 ____________________________________________________________________________________________________
 24 batchnormalization_3 (BatchNorma (None, 32, 32, 36) 144 merge_1[0][0] 
 25 ____________________________________________________________________________________________________
 26 activation_3 (Activation) (None, 32, 32, 36) 0 batchnormalization_3[0][0] 
 27 ____________________________________________________________________________________________________
 28 convolution2d_3 (Convolution2D) (None, 32, 32, 48) 1728 activation_3[0][0] 
 29 ____________________________________________________________________________________________________
 30 batchnormalization_4 (BatchNorma (None, 32, 32, 48) 192 convolution2d_3[0][0] 
 31 ____________________________________________________________________________________________________
 32 activation_4 (Activation) (None, 32, 32, 48) 0 batchnormalization_4[0][0] 
 33 ____________________________________________________________________________________________________
 34 convolution2d_4 (Convolution2D) (None, 32, 32, 12) 5184 activation_4[0][0] 
 35 ____________________________________________________________________________________________________
 36 merge_2 (Merge) (None, 32, 32, 48) 0 initial_conv2D[0][0] 
 37 convolution2d_2[0][0] 
 38 convolution2d_4[0][0] 
 39 ____________________________________________________________________________________________________
 40 batchnormalization_5 (BatchNorma (None, 32, 32, 48) 192 merge_2[0][0] 
 41 ____________________________________________________________________________________________________
 42 activation_5 (Activation) (None, 32, 32, 48) 0 batchnormalization_5[0][0] 
 43 ____________________________________________________________________________________________________
 44 convolution2d_5 (Convolution2D) (None, 32, 32, 48) 2304 activation_5[0][0] 
 45 ____________________________________________________________________________________________________
 46 batchnormalization_6 (BatchNorma (None, 32, 32, 48) 192 convolution2d_5[0][0] 
 47 ____________________________________________________________________________________________________
 48 activation_6 (Activation) (None, 32, 32, 48) 0 batchnormalization_6[0][0] 
 49 ____________________________________________________________________________________________________
 50 convolution2d_6 (Convolution2D) (None, 32, 32, 12) 5184 activation_6[0][0] 
 51 ____________________________________________________________________________________________________
 52 merge_3 (Merge) (None, 32, 32, 60) 0 initial_conv2D[0][0] 
 53 convolution2d_2[0][0] 
 54 convolution2d_4[0][0] 
 55 convolution2d_6[0][0] 
 56 ____________________________________________________________________________________________________
 57 batchnormalization_7 (BatchNorma (None, 32, 32, 60) 240 merge_3[0][0] 
 58 ____________________________________________________________________________________________________
 59 activation_7 (Activation) (None, 32, 32, 60) 0 batchnormalization_7[0][0] 
 60 ____________________________________________________________________________________________________
 61 convolution2d_7 (Convolution2D) (None, 32, 32, 48) 2880 activation_7[0][0] 
 62 ____________________________________________________________________________________________________
 63 batchnormalization_8 (BatchNorma (None, 32, 32, 48) 192 convolution2d_7[0][0] 
 64 ____________________________________________________________________________________________________
 65 activation_8 (Activation) (None, 32, 32, 48) 0 batchnormalization_8[0][0] 
 66 ____________________________________________________________________________________________________
 67 convolution2d_8 (Convolution2D) (None, 32, 32, 12) 5184 activation_8[0][0] 
 68 ____________________________________________________________________________________________________
 69 merge_4 (Merge) (None, 32, 32, 72) 0 initial_conv2D[0][0] 
 70 convolution2d_2[0][0] 
 71 convolution2d_4[0][0] 
 72 convolution2d_6[0][0] 
 73 convolution2d_8[0][0] 
 74 ____________________________________________________________________________________________________
 75 batchnormalization_9 (BatchNorma (None, 32, 32, 72) 288 merge_4[0][0] 
 76 ____________________________________________________________________________________________________
 77 activation_9 (Activation) (None, 32, 32, 72) 0 batchnormalization_9[0][0] 
 78 ____________________________________________________________________________________________________
 79 convolution2d_9 (Convolution2D) (None, 32, 32, 48) 3456 activation_9[0][0] 
 80 ____________________________________________________________________________________________________
 81 batchnormalization_10 (BatchNorm (None, 32, 32, 48) 192 convolution2d_9[0][0] 
 82 ____________________________________________________________________________________________________
 83 activation_10 (Activation) (None, 32, 32, 48) 0 batchnormalization_10[0][0] 
 84 ____________________________________________________________________________________________________
 85 convolution2d_10 (Convolution2D) (None, 32, 32, 12) 5184 activation_10[0][0] 
 86 ____________________________________________________________________________________________________
 87 merge_5 (Merge) (None, 32, 32, 84) 0 initial_conv2D[0][0] 
 88 convolution2d_2[0][0] 
 89 convolution2d_4[0][0] 
 90 convolution2d_6[0][0] 
 91 convolution2d_8[0][0] 
 92 convolution2d_10[0][0] 
 93 ____________________________________________________________________________________________________
 94 batchnormalization_11 (BatchNorm (None, 32, 32, 84) 336 merge_5[0][0] 
 95 ____________________________________________________________________________________________________
 96 activation_11 (Activation) (None, 32, 32, 84) 0 batchnormalization_11[0][0] 
 97 ____________________________________________________________________________________________________
 98 convolution2d_11 (Convolution2D) (None, 32, 32, 48) 4032 activation_11[0][0] 
 99 ____________________________________________________________________________________________________
100 batchnormalization_12 (BatchNorm (None, 32, 32, 48) 192 convolution2d_11[0][0] 
101 ____________________________________________________________________________________________________
102 activation_12 (Activation) (None, 32, 32, 48) 0 batchnormalization_12[0][0] 
103 ____________________________________________________________________________________________________
104 convolution2d_12 (Convolution2D) (None, 32, 32, 12) 5184 activation_12[0][0] 
105 ____________________________________________________________________________________________________
106 merge_6 (Merge) (None, 32, 32, 96) 0 initial_conv2D[0][0] 
107 convolution2d_2[0][0] 
108 convolution2d_4[0][0] 
109 convolution2d_6[0][0] 
110 convolution2d_8[0][0] 
111 convolution2d_10[0][0] 
112 convolution2d_12[0][0] 
113 ____________________________________________________________________________________________________
114 batchnormalization_13 (BatchNorm (None, 32, 32, 96) 384 merge_6[0][0] 
115 ____________________________________________________________________________________________________
116 activation_13 (Activation) (None, 32, 32, 96) 0 batchnormalization_13[0][0] 
117 ____________________________________________________________________________________________________
118 convolution2d_13 (Convolution2D) (None, 32, 32, 96) 9216 activation_13[0][0] 
119 ____________________________________________________________________________________________________
120 averagepooling2d_1 (AveragePooli (None, 16, 16, 96) 0 convolution2d_13[0][0] 
121 ____________________________________________________________________________________________________
122 batchnormalization_14 (BatchNorm (None, 16, 16, 96) 384 averagepooling2d_1[0][0] 
123 ____________________________________________________________________________________________________
124 activation_14 (Activation) (None, 16, 16, 96) 0 batchnormalization_14[0][0] 
125 ____________________________________________________________________________________________________
126 convolution2d_14 (Convolution2D) (None, 16, 16, 48) 4608 activation_14[0][0] 
127 ____________________________________________________________________________________________________
128 batchnormalization_15 (BatchNorm (None, 16, 16, 48) 192 convolution2d_14[0][0] 
129 ____________________________________________________________________________________________________
130 activation_15 (Activation) (None, 16, 16, 48) 0 batchnormalization_15[0][0] 
131 ____________________________________________________________________________________________________
132 convolution2d_15 (Convolution2D) (None, 16, 16, 12) 5184 activation_15[0][0] 
133 ____________________________________________________________________________________________________
134 merge_7 (Merge) (None, 16, 16, 108) 0 averagepooling2d_1[0][0] 
135 convolution2d_15[0][0] 
136 ____________________________________________________________________________________________________
137 batchnormalization_16 (BatchNorm (None, 16, 16, 108) 432 merge_7[0][0] 
138 ____________________________________________________________________________________________________
139 activation_16 (Activation) (None, 16, 16, 108) 0 batchnormalization_16[0][0] 
140 ____________________________________________________________________________________________________
141 convolution2d_16 (Convolution2D) (None, 16, 16, 48) 5184 activation_16[0][0] 
142 ____________________________________________________________________________________________________
143 batchnormalization_17 (BatchNorm (None, 16, 16, 48) 192 convolution2d_16[0][0] 
144 ____________________________________________________________________________________________________
145 activation_17 (Activation) (None, 16, 16, 48) 0 batchnormalization_17[0][0] 
146 ____________________________________________________________________________________________________
147 convolution2d_17 (Convolution2D) (None, 16, 16, 12) 5184 activation_17[0][0] 
148 ____________________________________________________________________________________________________
149 merge_8 (Merge) (None, 16, 16, 120) 0 averagepooling2d_1[0][0] 
150 convolution2d_15[0][0] 
151 convolution2d_17[0][0] 
152 ____________________________________________________________________________________________________
153 batchnormalization_18 (BatchNorm (None, 16, 16, 120) 480 merge_8[0][0] 
154 ____________________________________________________________________________________________________
155 activation_18 (Activation) (None, 16, 16, 120) 0 batchnormalization_18[0][0] 
156 ____________________________________________________________________________________________________
157 convolution2d_18 (Convolution2D) (None, 16, 16, 48) 5760 activation_18[0][0] 
158 ____________________________________________________________________________________________________
159 batchnormalization_19 (BatchNorm (None, 16, 16, 48) 192 convolution2d_18[0][0] 
160 ____________________________________________________________________________________________________
161 activation_19 (Activation) (None, 16, 16, 48) 0 batchnormalization_19[0][0] 
162 ____________________________________________________________________________________________________
163 convolution2d_19 (Convolution2D) (None, 16, 16, 12) 5184 activation_19[0][0] 
164 ____________________________________________________________________________________________________
165 merge_9 (Merge) (None, 16, 16, 132) 0 averagepooling2d_1[0][0] 
166 convolution2d_15[0][0] 
167 convolution2d_17[0][0] 
168 convolution2d_19[0][0] 
169 ____________________________________________________________________________________________________
170 batchnormalization_20 (BatchNorm (None, 16, 16, 132) 528 merge_9[0][0] 
171 ____________________________________________________________________________________________________
172 activation_20 (Activation) (None, 16, 16, 132) 0 batchnormalization_20[0][0] 
173 ____________________________________________________________________________________________________
174 convolution2d_20 (Convolution2D) (None, 16, 16, 48) 6336 activation_20[0][0] 
175 ____________________________________________________________________________________________________
176 batchnormalization_21 (BatchNorm (None, 16, 16, 48) 192 convolution2d_20[0][0] 
177 ____________________________________________________________________________________________________
178 activation_21 (Activation) (None, 16, 16, 48) 0 batchnormalization_21[0][0] 
179 ____________________________________________________________________________________________________
180 convolution2d_21 (Convolution2D) (None, 16, 16, 12) 5184 activation_21[0][0] 
181 ____________________________________________________________________________________________________
182 merge_10 (Merge) (None, 16, 16, 144) 0 averagepooling2d_1[0][0] 
183 convolution2d_15[0][0] 
184 convolution2d_17[0][0] 
185 convolution2d_19[0][0] 
186 convolution2d_21[0][0] 
187 ____________________________________________________________________________________________________
188 batchnormalization_22 (BatchNorm (None, 16, 16, 144) 576 merge_10[0][0] 
189 ____________________________________________________________________________________________________
190 activation_22 (Activation) (None, 16, 16, 144) 0 batchnormalization_22[0][0] 
191 ____________________________________________________________________________________________________
192 convolution2d_22 (Convolution2D) (None, 16, 16, 48) 6912 activation_22[0][0] 
193 ____________________________________________________________________________________________________
194 batchnormalization_23 (BatchNorm (None, 16, 16, 48) 192 convolution2d_22[0][0] 
195 ____________________________________________________________________________________________________
196 activation_23 (Activation) (None, 16, 16, 48) 0 batchnormalization_23[0][0] 
197 ____________________________________________________________________________________________________
198 convolution2d_23 (Convolution2D) (None, 16, 16, 12) 5184 activation_23[0][0] 
199 ____________________________________________________________________________________________________
200 merge_11 (Merge) (None, 16, 16, 156) 0 averagepooling2d_1[0][0] 
201 convolution2d_15[0][0] 
202 convolution2d_17[0][0] 
203 convolution2d_19[0][0] 
204 convolution2d_21[0][0] 
205 convolution2d_23[0][0] 
206 ____________________________________________________________________________________________________
207 batchnormalization_24 (BatchNorm (None, 16, 16, 156) 624 merge_11[0][0] 
208 ____________________________________________________________________________________________________
209 activation_24 (Activation) (None, 16, 16, 156) 0 batchnormalization_24[0][0] 
210 ____________________________________________________________________________________________________
211 convolution2d_24 (Convolution2D) (None, 16, 16, 48) 7488 activation_24[0][0] 
212 ____________________________________________________________________________________________________
213 batchnormalization_25 (BatchNorm (None, 16, 16, 48) 192 convolution2d_24[0][0] 
214 ____________________________________________________________________________________________________
215 activation_25 (Activation) (None, 16, 16, 48) 0 batchnormalization_25[0][0] 
216 ____________________________________________________________________________________________________
217 convolution2d_25 (Convolution2D) (None, 16, 16, 12) 5184 activation_25[0][0] 
218 ____________________________________________________________________________________________________
219 merge_12 (Merge) (None, 16, 16, 168) 0 averagepooling2d_1[0][0] 
220 convolution2d_15[0][0] 
221 convolution2d_17[0][0] 
222 convolution2d_19[0][0] 
223 convolution2d_21[0][0] 
224 convolution2d_23[0][0] 
225 convolution2d_25[0][0] 
226 ____________________________________________________________________________________________________
227 batchnormalization_26 (BatchNorm (None, 16, 16, 168) 672 merge_12[0][0] 
228 ____________________________________________________________________________________________________
229 activation_26 (Activation) (None, 16, 16, 168) 0 batchnormalization_26[0][0] 
230 ____________________________________________________________________________________________________
231 convolution2d_26 (Convolution2D) (None, 16, 16, 168) 28224 activation_26[0][0] 
232 ____________________________________________________________________________________________________
233 averagepooling2d_2 (AveragePooli (None, 8, 8, 168) 0 convolution2d_26[0][0] 
234 ____________________________________________________________________________________________________
235 batchnormalization_27 (BatchNorm (None, 8, 8, 168) 672 averagepooling2d_2[0][0] 
236 ____________________________________________________________________________________________________
237 activation_27 (Activation) (None, 8, 8, 168) 0 batchnormalization_27[0][0] 
238 ____________________________________________________________________________________________________
239 convolution2d_27 (Convolution2D) (None, 8, 8, 48) 8064 activation_27[0][0] 
240 ____________________________________________________________________________________________________
241 batchnormalization_28 (BatchNorm (None, 8, 8, 48) 192 convolution2d_27[0][0] 
242 ____________________________________________________________________________________________________
243 activation_28 (Activation) (None, 8, 8, 48) 0 batchnormalization_28[0][0] 
244 ____________________________________________________________________________________________________
245 convolution2d_28 (Convolution2D) (None, 8, 8, 12) 5184 activation_28[0][0] 
246 ____________________________________________________________________________________________________
247 merge_13 (Merge) (None, 8, 8, 180) 0 averagepooling2d_2[0][0] 
248 convolution2d_28[0][0] 
249 ____________________________________________________________________________________________________
250 batchnormalization_29 (BatchNorm (None, 8, 8, 180) 720 merge_13[0][0] 
251 ____________________________________________________________________________________________________
252 activation_29 (Activation) (None, 8, 8, 180) 0 batchnormalization_29[0][0] 
253 ____________________________________________________________________________________________________
254 convolution2d_29 (Convolution2D) (None, 8, 8, 48) 8640 activation_29[0][0] 
255 ____________________________________________________________________________________________________
256 batchnormalization_30 (BatchNorm (None, 8, 8, 48) 192 convolution2d_29[0][0] 
257 ____________________________________________________________________________________________________
258 activation_30 (Activation) (None, 8, 8, 48) 0 batchnormalization_30[0][0] 
259 ____________________________________________________________________________________________________
260 
 

            
  
           

              
              
            
            
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  1 Model created
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摘要

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							Addition Link





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Densely Connected Convolutional Networks 論文筆記
     
 
							
							
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講得非常清楚，第一重點推薦！

這個講很直白，感覺非常好！第二重點推薦，也不知道是