What will you learn? In this tutorial, you will master the art of customizing the forward pass of a pre-trained torch model using forward and backward hooks to enhance its behavior during inference. Introduction to the Problem and Solution When dealing with pre-trained models in PyTorch, there arises a need to tailor or adjust the … Read more
Rewriting the Question for Clarity What will you learn? Explore how to identify the shape of an input tensor when feeding it through a PyTorch model. Introduction to the Problem and Solution In PyTorch, calling model(x) necessitates understanding the precise shape of the input tensor x. This knowledge is crucial for debugging, reshaping data, and … Read more
What will you learn? Dive into the realm of Audio Source Separation using U-Net Neural Networks and uncover the challenges posed by complex numbers in PyTorch. Learn effective strategies to resolve compatibility issues and harness the power of complex computations seamlessly. Introduction to the Problem and Solution Embarking on audio source separation tasks with neural … Read more