can1357 / simple_cnn Goto Github PK

Hi is there a possibility to save the trained nn (all the neuron layers and synapses) to a file?
I'm thinking about something like the fann library does.
So if you want to use it again you just load the file instead of having to do the whole training again.

Hello,

I was just looking over your "simple_cnn" code and noticed that it seem to be set up to compile for Windows.

I was wondering if you could port this version, or have a version that will compile up on Linux (Ubuntu) so that I do not have to dig through all of the code trying to get it to work on my Linux box?

I wanted to use your code to learn more about CNN's and how they work in a simple CPU (non-GPU) version before moving to more complex libraries.

Cheers,
Lonnie

can i compile it and run it like youtube demo ?
if can't ,how do i make it .
thanks

I mean if there are two fully connected layer with 12 and 5 neurons.
You have to multiply weights with fully connected layer, Let say 12 x 1 layer with 12 x 5 weight matrix or tensor.. to get next layer which is 5 x 1..

Hello,
I have a question regarding how to handle number of channels with this CNN implementation. For e.g., RGB images would require three channels but I could not find any part to handle the number of channels.

When the number of layers has been increased like 2 conv layer, the network diverges and no matter what the learning rate is. I also added learning rate decay but it diverged again. I think there is another problem somewhere.

There is no "test.ppm" in the project. Can you share one with me? Thank you!