Skip to content

Commit 874120b

Browse files
committed
Add latest experimental results to clustering overview document
1 parent 6f88426 commit 874120b

File tree

1 file changed

+51
-22
lines changed
  • tensorflow_model_optimization/g3doc/guide/clustering

1 file changed

+51
-22
lines changed

tensorflow_model_optimization/g3doc/guide/clustering/index.md

Lines changed: 51 additions & 22 deletions
Original file line numberDiff line numberDiff line change
@@ -31,24 +31,51 @@ Users can apply clustering with the following APIs:
3131

3232
<table>
3333
<tr>
34-
<th rowspan=2>Model</th>
35-
<th colspan=2>Original</th>
36-
<th colspan=3>Clustered</th>
34+
<th rowspan="2">Model</th>
35+
<th colspan="2">Original</th>
36+
<th colspan="4">Clustered</th>
3737
</tr>
3838
<tr>
39-
<th>Top-1 accuracy</th>
40-
<th>Size of compressed .tflite</th>
39+
<th>Top-1 accuracy (%)</th>
40+
<th>Size of compressed .tflite (MB)</th>
41+
<th>Configuration</th>
4142
<th># of clusters</th>
42-
<th>Top-1 accuracy</th>
43-
<th>Size of compressed .tflite</th>
43+
<th>Top-1 accuracy (%)</th>
44+
<th>Size of compressed .tflite (MB)</th>
4445
</tr>
4546
<tr>
46-
<td>MobileNetV2</td>
47-
<td>72.29%</td>
48-
<td>13.0 MB</td>
49-
<td>32</td>
50-
<td>69.33%</td>
51-
<td>2.6 MB</td>
47+
<td rowspan="3">MobileNetV1</td>
48+
<td rowspan="3">71.02</td>
49+
<td rowspan="3">14.96</td>
50+
</tr>
51+
<tr>
52+
<td>Selective (last 3 Conv2D layers)</td>
53+
<td>256, 256, 32</td>
54+
<td>70.62</td>
55+
<td>8.42</td>
56+
</tr>
57+
<tr>
58+
<td>Full (all Conv2D layers)</td>
59+
<td>64</td>
60+
<td>66.07</td>
61+
<td>2.98</td>
62+
</tr>
63+
<tr>
64+
<td rowspan="3">MobileNetV2</td>
65+
<td rowspan="3">72.29</td>
66+
<td rowspan="3">12.90</td>
67+
</tr>
68+
<tr>
69+
<td>Selective (last 3 Conv2D layers)</td>
70+
<td>256, 256, 32</td>
71+
<td>72.31</td>
72+
<td>7.00</td>
73+
</tr>
74+
<tr>
75+
<td>Full (all Conv2D layers)</td>
76+
<td>32</td>
77+
<td>69.33</td>
78+
<td>2.60</td>
5279
</tr>
5380
</table>
5481

@@ -60,22 +87,24 @@ The models were trained and tested on ImageNet.
6087
<tr>
6188
<th rowspan=2>Model</th>
6289
<th colspan=2>Original</th>
63-
<th colspan=3>Clustered</th>
90+
<th colspan=4>Clustered</th>
6491
</tr>
6592
<tr>
66-
<th>Top-1 accuracy</th>
67-
<th>Size of compressed .tflite</th>
93+
<th>Top-1 accuracy (%)</th>
94+
<th>Size of compressed .tflite (MB)</th>
95+
<th>Configuration</th>
6896
<th># of clusters</th>
69-
<th>Top-1 accuracy</th>
70-
<th>Size of compressed .tflite</th>
97+
<th>Top-1 accuracy (%)</th>
98+
<th>Size of compressed .tflite (MB)</th>
7199
</tr>
72100
<tr>
73101
<td>DS-CNN-L</td>
74-
<td>95.03%</td>
75-
<td>1.5 MB</td>
102+
<td>95.03</td>
103+
<td>1.5</td>
104+
<td>Full</td>
76105
<td>32</td>
77-
<td>94.71%</td>
78-
<td>0.3 MB</td>
106+
<td>94.71</td>
107+
<td>0.3</td>
79108
</tr>
80109
</table>
81110

0 commit comments

Comments
 (0)