chih-chun-chang / convolutional-neural-network-from-scratch-python Goto Github PK

I am training this digit recognition model with children's handwritten image ( worse than mnist handwritten images ),

After 20-30 epochs of training, loss is becoming zero, and when training is finished the model is overfitted with zero (any input, it predicts as zero ), what could be the reason?
My training config :
learning rate: 0.01
epoch:1
batch size:32

I might have some bad inputs as well ( reasonably less ), as I am training the model with 3 lakhs digit images.

I have some questions,
How to decide epoch value, batch size value, learning rate value?
How to include diagnosis of training to the same model?
What's your suggestion on transfer learning?

hello, i am trying this code and i got this error
"TypeError: No loop matching the specified signature and casting was found for ufunc true_divide"
in line 14 on "main.py"
train_images /= int(np.std(train_images))

can you help me to find a reason why i can get that error..
thank you