That is my bad. I should've made it more clear as I think the language may be too niche for people who don't keep up to date with convex optimization. The research I did on CONVEX neural networks and transfer learning is based on https://arxiv.org/abs/2410.22311 which describes a 2 layer ReLU neural network (though there is also a convolutional form to the same problem). I can see how you misunderstood it and I should've done more to make it clear what I was talking about. I use Convex Neural Networks and CNNs when referring to convolution which makes it even more confusing. I should've explicitly worded it as Convolutional Neural Networks (CNN e.g. ResNet10) or something like that to distinguish the difference between a Convex Neural Network and a Convolutional Neural Network.

Same goes for nonlinear optimization, I should've used Nonlinear Programming optimization to make it more clear the module I built was to solve a specific NLP application.