Recurrent Architectures

make_rnn_tensor(m::Matrix{T}, seq_to_one_length = 10) where {T}

Create a Tensor used for RNNs

Given an input matrix of dimensions timesteps×features transform it into a Tensor of dimension timesteps×features×sequences where the sequences are overlapping subsequences of length seq_to_one_length of the orignal timesteps long sequence