[wizzerking]

I concur with warrenm I got into deep learning because of the opensourcing of Tensorflow, PyTorch and FOSS and BECAUSE I had worked with Neural Networks before they became convolutional. I did not want to do the same old thing Principal Component Analysis. For more senior engineers I always advocate for learn train and see what in your past should be updated. If your goal is Architect then learn algorithms and interconnections. If the goal is Principal Engineer then processes. Are you able to combine these roles into a new role a Principle Architect ?