rcurtin_irc changed the topic of #mlpack to: mlpack: a scalable machine learning library (https://www.mlpack.org/) -- channel logs: https://libera.irclog.whitequark.org/mlpack -- NOTE: messages sent here might not be seen by bridged users on matrix, gitter, or slack
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<VaibhavPathak[m]> Hey everyone! I am new to mlpack, I wanted some help in implementing U-Net in mlpack. In particular, I am having trouble in how to concatenate feature map from the from the corresponding encoder layer to the decoder layers. Is it currently possible, given the model is a stack(a std::vector)? zoq Aakash-kaushik (Aakash kaushik)
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<mrv[m]> <mrv[m]> "Hey everyone! I am new to mlpack..." <- U-Net-https://paperswithcode.com/method/u-net
<mrv[m]> <mrv[m]> "Hey everyone! I am new to mlpack..." <- I am aware that a new DAG network class is in the works and I am interested in implementing it, but I wanted to find understand the extent of capabilities of the current API of mlpack, which will helpful in creating the new DAG network.
mrv[m] is now known as vaibhavp[m]