09:05 <vaibhavp[m]> Additional Note: I think that the architecture is fairly simple, and could instead be implemented using MultiLayer instead, which would not require adding inputs manually. But it shows what could be done using the DAG network.

09:05 <zoq[m]> <vaibhavp[m]> "Additional Note: I think that..." <- Thanks, I'll check it out over the next days, and get back to you.

09:05 <vaibhavp[m]> > <@mrvasura:matrix.org> Hey zoq ! Here is the link to code for the DAG Network-[Github Link](https://github.com/mrdaybird/mlpack-dag-network). It still has a few errors, but the code gives the general idea about the direction I am going towards. Please share your thoughts on how it looks, any criticism is welcome.

09:05 <vaibhavp[m]> * Additional Note: I think that the architecture is fairly simple, and could instead be implemented using a MultiLayer, which would not require adding inputs manually. But it shows what could be done using the DAG network.

23:05 <AnaB[m]> Hello everyone! My name is Ana Blaž and I'm an undergraduate computer science student from the University of Ljubljana, Slovenia. I'm interested especially in two of the projects in the Ready to use Models in mlpack section - Adding ready to use state of the art deep learning models and Showcasing usage of models repo... (full message at <https://libera.ems.host/_matrix/media/v3/download/libera.chat/4212c1cda883ac34b16365a455416e8541b28cd6>)