Cédric Bovar

Hello, I'm having the same problem. Were you able to solve it?

Hello. No it can't

Hi! Don't hesitate to do PR if you know how to solve this issue. I will merge it. Thanks!

It's not currently possible to draw networks like ResNet.

Hi, There is not solution for distributed learning so far. Yes, I guess you could train different nodes with different samples set and share the weights from time to time....

It would be great to load ONNX file. So far this is not implemented. I'm not very familiar with ONNX but I understand data is represented as a computation graph....

I gave it a try: You can take a look at the branch [Onnx](https://github.com/cbovar/ConvNetSharp/tree/Onnx) This [class](https://github.com/cbovar/ConvNetSharp/blob/Onnx/src/ConvNetSharp.Flow/Serialization/Onnx/OnnxLoader.cs) implements basic onnx loading (`Conv `/ `Relu `and `MaxPool `ops). But some more ops...

Hi. I'm on currently on holidays, having no access to a computer. I will reply when I get back.

By the way, the [example image](https://github.com/cbovar/ConvNetSharp/blob/master/img/graph.png) is a screenshot of the output of the `MnistDemo.Flow.GPU` demo. In this demo, a network is built using layers from `ConvNetSharp.Flow.Layers`. Those layers build...

It seems you have the same need as #68