October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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Hyperparameters
We can try a few more parameters to check whether additional parameters help to improve results.
Specify them in the form given in the bullets. The hyperparameters are explained as follows:
- --learning_rate: This parameter controls the updates to the final layer while training. If this value is small, the training will take more time. This may not always help when it comes to improving accuracy.
- --train_batch_size: This parameter helps with controlling the number of images examined during training to estimate the final layer updates. Once the images are ready, the script splits them into three different sets. The largest set is used in training. This division is mainly useful for preventing the model from recognizing unnecessary ...
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