Deep learning frameworks: PyTorch vs. TensorFlow

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After all, many data sets can be modeled analytically or with simple statistical procedures. On the other hand, there are cases where deep learning or deep transfer learning can help you train a model that is more accurate than you could create any other way. For these cases, PyTorch and TensorFlow can be quite effective, especially if there is already a trained model similar to what you need in the framework's model library.