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Copy file name to clipboardexpand all lines: README.Rmd
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Next, we create a neural network that takes as input a `lazy_tensor` (`po("torch_ingress_num")`).
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Next, we create a neural network that takes as input a `lazy_tensor` (`po("torch_ingress_ltnsr")`).
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It first applies a linear layer and then repeats the above layer using the special `PipeOpTorchBlock`, followed by the network's head.
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After that, we configure the loss, optimizer and the training parameters.
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Note that `po("nn_linear_0")` is equivalent to `po("nn_linear", id = "nn_linear_0")` and we need this here to avoid ID clashes with the linear layer from `po("nn_block")`.
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