Deep Learning Frameworks for Image Recognition, Natural Language Processing (NLP), Speech Recognition, Recommender Systems, Generative Models, Time Series Analysis, Autonomous Vehicles, Healthcare, Robotics, and Financial Analysis, etc.
PyTorch is strong tool, can work with big data.
but with TensorFlow more easy, maybe because it is more popular?
it is works fine with
https://colab.research.google.com/?utm_source=scs-index
I started my journey using Pytorch because everybody in my lab was using it. I was good at it and did coding for my first article and data was huge. However, Tensorflow is more reliable in terms of documentation and libraries and can work any type of data even yolo models are built on Tensorflow. Therefore, I switched to Tensoflow to code my next two article as well as for my part time job. Till now I never use Pytorch again.
Hope my experience will help you somehow.
Best Regards
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