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Further results
Alexandru Dinu edited this page Jan 4, 2019
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11 revisions
Trained on a smaller subset of YouTube dataset (2286 frames): num_epochs: 5, batch_size: 1, learning_rate: 1e-05
.
3k optimization steps @ epoch 1
75k optimization steps @ epoch 1
140k optimization steps @ epoch 2
212k optimization steps @ epoch 2
277k optimization steps @ epoch 3
349k optimization steps @ epoch 3
414k optimization steps @ epoch 4
486k optimization steps @ epoch 4
551k optimization steps @ epoch 5
623k optimization steps @ epoch 5
662k optimization steps @ epoch 5
683k optimization steps @ epoch 5
Note: Some slight artifacts can be seen where patches connect. This is what smoothing.py
fixes.