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    1. The code of PyTorch resembles regular Python. Thus, it is a lot easier to learn and understand rather than some other deep learning frameworks. Moreover, debugging in PyTorch is very easy. Another interesting fact is that you can utilize the same tools for debugging that you have already used for Python.

      Discover the key differences between PyTorch and TensorFlow, two of the most popular deep learning frameworks. This comparison explores performance, ease of use, scalability, and industry adoption to help developers and businesses decide which tool best suits their AI and machine learning projects.