924
75%

Ran 22 Jan 2016 06:54PM UTC

Jobs 1

Files 104

Run time 12s

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Build # 924

Build Type

Pull #538

travis-ci

Committed by

gheinrich

Commit Message

Re-use all weights when re-training on same dataset

Current behaviour:
When a classification model is being re-trained the last `InnerProduct` layer is renamed to allow training on another dataset (with a possibly different number of classes).
This implies that the weights of that last layer are discarded.

Problem:
If the model is being re-trained on the same dataset then initially the model will perform badly as it needs to re-learn the weights of its last `InnerProduct` layer.

Solution:
Refrain from renaming the last `InnerProduct` layer if the model is being re-trained on the same dataset

Note:
This applies to Caffe only.

closes #533

Pull Request Pull Request #538: Re-use all weights when re-training on same dataset

Run Details

7948 of 9877 relevant lines covered (80.47%)

0.8 hits per line

Uncovered Existing Lines

Lines	Coverage	∆	File
1	82.06	-0.11%	digits/model/tasks/caffe_train.py
3	89.29	-5.26%	digits/frameworks/caffe_framework.py
4	92.31	0.0%	digits/frameworks/torch_framework.py
24	77.93	0.1%	digits/model/images/generic/views.py
32	79.45	0.07%	digits/model/images/classification/views.py

Jobs

ID	Job ID	Ran	Files	Coverage
1	924.1	22 Jan 2016 06:54PM UTC	104	80.47	Travis Job 924.1

Source Files on build 924

Coverage	∆	File	Lines	Relevant	Covered	Missed	Hits/Line

NVIDIA / DIGITS / 924
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