After trying out various versions of my models I’m becoming quite enamoured with the idea of automating that process. Luckily the book I’m currently working through, Deep Learning with PyTorch by Adrian Tam, has me covered. There’s a chapter on setting up a Torch model to work with Scikit-Learn’s GridSearch, an automated hyperpameter tuning functionality. I’ll definitely be giving that a go shortly. I guess while I’m working on my financial issues I can have the grid search running in the background! Maybe it’s time to get that better computer, or else just do it in the cloud on a GPU from Google Colab.
Actually this heralds a change in focus, from becoming familiar with neural networks, picking up the jargon and a general idea of what’s going on, to actually using neural networks to solve problems. Not for the solutions themselves, but to become competent in the use of neural networks. Not sure if I’ll ever be using them to solve anything significant, but I’m enjoying the process.