model-zoo | Examples of Generative Adversarial Networks | Machine Learning library

I'm trying to deploy a project to Maven to bintray which is successfully uploads the pom file but returns an Error code 401 when uploading jar files.

I have gone through the bintray tutorial, set my settings.xml up properly, added the correct distributionManagement etc fields to my pom file, made sure the project is not a snapshot etc. but cannot seem to get the uploading of jar files working? I've been trying to figure out what might be going on but with no success.

Details on the stack trace pom.xml, settings.xml and eclipse configuration are below. The entire project can be found on github

Am I missing something obvious here? Any help much appreciated.

So, I am training a neural network model using Flux package in Julia. During training, each iteration that acquires an improvement in the model, the latter is saved in my computer. For this, I use the line:

I have now spent way too much time trying to resolve this on my own, but I seem unable to do this on my own. I wanted to try out DJL, looked at some examples and into the tutorial, and was very excited about it because it seems like a very modern, simple and versatile library. However, I ran into a problem I am unable to solve.

DJL proposes using its MXNet Engine as default engine in the tutorial. It is included via the maven dependency ai.djl.mxnet:mxnet-engine:0.5.0. When running the sample code from the tutorial, I encounter the following error message:

I wish to re-use this code:

https://github.com/FluxML/model-zoo/blob/master/vision/mnist/mlp.jl

but with my own set of images. I think I need to define an object like imgs of type Array{Array{Gray{Normed{UInt8,8}},2},1}

How do I initialize an array of images to obtain something of the following type: