Hi! I am trying to use 1D convolution in order to classify a set of time signals. Every data unit I need to classify is made out of 65 different time series, each one contains 50 time samples, so if I write:
dataset = MyDataset(train,y_train_one_hot) a,b = dataset print(a.shape
I will get:
I want to run 1D convolutional filters on each one of the channels. Problem is I cant get right the inputs of the first nn.Conv1d layer - right now I am using:
self.c1 = nn.Conv1d(in_channels=56 , out_channels=100 , kernel_size=ks1)
but when I run the model with a batch size of 100, the input becomes of the shape
[100,56,50] and I get only one prediction for a batch size of 100 (instead of 100X3). Can anyone help with the right syntax? Thank you very much!