TSAI PatchTST – Training with Input and Output of Different Sizes in Python
What will you learn? In this tutorial, you will learn how to effectively train a model when the input and output sizes are different. By understanding techniques like padding and reshaping, you can overcome challenges posed by dimension mismatches during training. Introduction to the Problem and Solution When working with machine learning models, it’s common … Read more