Hello,
Using AI fiddle to create fully connected nets and single layer conv nets converges OK, however none of my attempts to use 2-3 convolution layers seem to get much above 50% accuracy.
To get a reference point I re implemented in AI Fiddle the simple conv net here: https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py and also ran it in a colaboratory notebook. The notebook was at 92% accuracy after the first epoch. In AIFiddle I get to around 50% with 1 epoch and a batch size of 32. Moving to a batch size of 128 (as used by the code sample) sees this crashing down to 10%.
Do you have any idea what could cause this?
Hello,
Using AI fiddle to create fully connected nets and single layer conv nets converges OK, however none of my attempts to use 2-3 convolution layers seem to get much above 50% accuracy.
To get a reference point I re implemented in AI Fiddle the simple conv net here: https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py and also ran it in a colaboratory notebook. The notebook was at 92% accuracy after the first epoch. In AIFiddle I get to around 50% with 1 epoch and a batch size of 32. Moving to a batch size of 128 (as used by the code sample) sees this crashing down to 10%.
Do you have any idea what could cause this?