作者:手机用户2502921201 | 来源:互联网 | 2023-09-25 21:00
Hi, I've started working on an mnist training app, based on tiny-dnn's mnist example code, an trying to reproduce this network topology : keras-cnn-inspired-by-lenet-5.
My app source code is here, but I'm facing some issues trying to make training converge. Using the mnist dataset included in tiny-dnn, after 6 epochs the scores drops from 9832/10000 to 980/10000.
As you can see I use a custom adamax optimizer.
Could you help me understand this drop? Did I make something wrong in my code?
Thx for the help
该提问来源于开源项目:tiny-dnn/tiny-dnn
I didn't change it so it's the same as in the vanilla example.