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    JingliangGao
    @JingliangGao
    Hi, is it anyone here?
    Nils Schaetti
    @nschaetti
    Hi :)
    JingliangGao
    @JingliangGao
    Sir, I observed that you did not answer my Q posted on your github and I still could not solve the problem. Could you give me a hand?
    Manish Goyal
    @mag16154
    Hi
    JingliangGao
    @JingliangGao
    Hi
    Manish Goyal
    @mag16154
    I recently install EchoTorch and tried running the NilsNet_example. But the error I am getting is "ModuleNotFoundError: No module named 'datasets'".
    Abolfazl-Alipour
    @Abolfazl-Alipour

    Hi guys,
    I am working on this nice package (and thank you Nils for making this available) I want to add one FC layer to the network. however, when data is fed to the network, the output does not have the gradient attached to it and hence, it looses information that is needed for back propagation.
    i am able to incorporate ESNCell.py into my network and run backprop in it. however, if I use the ridge regression cell (RRCell.py) it generates an output that does not have the gradient and therefore no backprop on its output.
    I used both ESN.py , LiESN.py, and after calling the finalize method, and then testing the network, the output does not have the gradient.
    for example:

    esn= esn = etnn.LiESN(input_dim=input_dim, hidden_dim=n_hidden, output_dim=1, spectral_radius=spectral_radius, learning_algo='inv', leaky_rate=leaky_rate)
    esn(inputs,targets)
    esn.finalize()
    y_predicted=esn(inputs)
    and then y_predicted is just a tenson without any gradient attached to it

    any suggestions? @nschaetti

    Taehwan Kim
    @peter7833_gitlab
    @mag16154 I had the same error. you have to download the git files from https://github.com/nschaetti/EchoTorch and run setup.py file to download the necessary librarys/files