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Question No. 11
We have created a classification model (5 conv2d and 3 dense layers) to train the MNIST digit(0-9) data MNIST data is split into 20% test and 80% tran data Tes
and train data further divided into 0 to 5 and 6 to 9 digit datasets. Initially, the model is trained on 0 to 5 digits data from the MNIST dataset with an accuracy of
85% Freeze the weights of 5 conv2d layers and retrain the model on a 6 to 9 digit dataset Will model be able to train?
No, the model will not be able to train on 6 to 9 digit dataset Will throw a shape error
No we cannot pass input to the model as it is trained on 0 to 5 which is 6 classes and 6 to 9 are 4 classes
Yes we can train the model with 6 to 9 digit classes
None of the above
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Answer 1

Answer:

sorry I didn't understand your question