[Solved] Accuracy on 1st epoch – MNIST Deep Learning example

Question

Yes..you can get a good accuracy in the first epoch as well. It depends more on the complexity of the data and the model you build. sometimes if the learning rate is too high, than also it could so happen you get a higher training accuracy.

Also, coming to the adjusting weights and biases part, it could be a mini-batch training and for every mini-batch, the model updates the weights. So weights could have updated many times which is equal to number of training data images/ sample size

Accepted Answer

Yes..you can get a good accuracy in the first epoch as well. It depends more on the complexity of the data and the model you build. sometimes if the learning rate is too high, than also it could so happen you get a higher training accuracy.

Also, coming to the adjusting weights and biases part, it could be a mini-batch training and for every mini-batch, the model updates the weights. So weights could have updated many times which is equal to number of training data images/ sample size