Week 7 - BALT 4364 - Comparisons & ~The Future~
PyTorch & TensorFlow Both of these are open-source deep learning frameworks that have been extremely popular in the ML and AI field. Each has its own benefits and can be used by people with different preferences. For example, TensorFlow was developed by Google (2015), while PyTorch was developed by Facebook (their AI research lab known as FAIR)(2016). TensorFlow is larger with more of a community, while PyTorch has been growing in popularity due to its library of resources currently being developed. Another aspect of why PyTorch has been on the rise is its ease of debugging, where the original TensorFlow was much harder to debug (now easier with version 2.0). Although when it comes to overall performance, TensorFlow is the faster of the two and can utilize performance optimizations. This isn't to say PyTorch is slow, as it's more than capable, but when comparing the two, Google has them beat. At the end of the day, trying both options for yourself will help you better under...