TensorFlow vs PyTorch

Deep learning, one of the most fascinating subjects in computer science, has spawned a slew of machine learning frameworks and libraries, sparking community discussions about platforms like PyTorch vs TensorFlow. Currently, the most prominent frameworks are PyTorch and TensorFlow, which were created by Facebook and Google, respectively. Both of these frameworks are open-source libraries for machine learning that are widely utilised in commercial and academic research. They're also distinct enough that you'll want to think about the framework you'll use before getting started. Why is there a debate between PyTorch and TensorFlow in the machine learning community?