Hi, I am new to deep learning. I am trying to make CNN on CSV data. The data is derived from the images. And I am predicting x,y,z coordinates for mono pong game. Now I am stuck at the preprocessing of the data. I have (667,225) CSV of input set and (667,3) CSV of labels. So I read through the internet but still struggling with reshaping the CSV. How should I convert CSV to tensor? The actual pixel of the image is (1920, 1440). (I do not have images.)
Can anyone tell me how can I prepare the dataset to feed it to the architecture?
and one more thing
In CNN architecture how we can decide the input node, hidden lawyer and kernel size?
I know there is lots of information on the internet but after reading it I became more confused.
Please help me out. Thanks in advance.