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Which network architectures you used? #4

@matekrk

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@matekrk

Hi, many thanks for the paper and providing the code. In emb I can see:

if args.model.startswith("mlp-"):
        nint = int(args.model.split('-')[1])
        net = network.mlp_ebm(np.prod(args.input_size), nint)
    elif args.model.startswith("cnn-"):
        nint = int(args.model.split('-')[1])
        net = network.MNISTConvNet(nint)
    elif args.model.startswith("resnet-"):
        nint = int(args.model.split('-')[1])
        net = network.ResNetEBM(nint)
    else:

        raise ValueError("invalid model definition")

I wonder if you could share your MNISTConvNet and/or ResNetEBM with the configurations how to train them on MNIST? Thanks!

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