can I see testing accuracy and loss graph in Neural network, like training graph?
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krishna Chauhan
el 22 de Jul. de 2020
Comentada: krishna Chauhan
el 13 de Sept. de 2020
In classify() function can i set parameters to plot graph for testing accuracy and loss?
also what if I have not provided any validation data ie i have done two partions only training and test. Is there any problem?
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Raunak Gupta
el 12 de Ag. de 2020
Hi Krishna,
I assume by graph of the testing accuracy and loss; you mean epoch wise plot of the parameters for testing data. I think if you want to get the values for the testing data it is required to pass the data while training itself so that prediction can be made at every epoch and accordingly mini-batch accuracy and loss can be updated.
So essentially you need to pass testing data as validation data for calculating the accuracy and loss epoch wise.
For second question, it is completely fine to skip the validation data.
Hope this clarifies.
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Raunak Gupta
el 11 de Sept. de 2020
Hi,
What is the typical difference you are seeing between different runs? If the difference is small, it may be due to the shuffling of the training data that happens between every epoch or at the very start of the training.
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