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I am developing an ANN from scratch which classifies MNIST digits.

These are the curves I get using only one hidden layer composed of 100 neurons activated by ReLU function. The output's neurons are activated by the softmax function:

curves

Is it correct that training and validation loss are almost identical? Does it mean that my model perfectly fit the data?

tail
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1 Answers1

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If your accuracy is 50% in train and val, would you say that the model fit the data perfectly?

One guess is that your val and train data are pretty similar. Have you split the data before training the model?

The loss seems quite high. What does your accuracy look like? Have you tried to train for more epochs?

Skobo Do
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