Hi, I’m very new to PyTorch.
I’m somewhat experienced with Python, but have been programming in other languages (namely Java) for a few years now. My goal is to implement a machine learning program that will take in–as input–and learn from hundreds of arrays of numbers and a corresponding value to each array. To put it simply, I have a long list of arrays, and each array of numbers has 1 correct corresponding value based on the values inside the array.
I’m still new to neural networks, so you can imagine that all these introductory code examples and basics mainly feature simple neural networks designed to learn images and predict them. How do I go about using arrays as an input? I don’t know where else to go, so if someone could point me in the right direction that would be super helpful.