PyTorch vs TensorFlow for building deep learning models

Two of the most popular Python-based deep learning libraries are PyTorch and TensorFlow. It may be difficult for a novice machine learning practitioner to decide which one to use when working with a deep learning model. You may be completely unaware of the distinctions, making it impossible for you to make an informed decision. We will look at some of those differences in practice in this article by creating a classifier by using both frameworks for the same problem-solving. Finally, we will conclude how the similar models defined to address the same problem but using different infrastructure defer in results.