November 2017
Intermediate to advanced
274 pages
6h 16m
English
The following is the output of a DBN with 512 neurons in an RBM layer. The reconstruction loss has come down and the test set's accuracy has come down as well:
Reconstruction loss: 0.128517: 100%|██████████| 5/5 [01:32<00:00, 19.25s/it]Start deep belief net finetuning...Tensorboard logs dir for this run is /home/ubuntu/.yadlt/logs/run55Accuracy: 0.0758: 100%|██████████| 1/1 [00:06<00:00, 6.40s/it]Test set accuracy: 0.0689999982715
Notice how the accuracy and test set accuracy both have come down. This means increasing the number of neurons doesn't necessarily improve the accuracy.
Read now
Unlock full access