What deep learning framework would you recommend to a new learner? Tensorflow or pytorch or others?
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Both.
Hi
Thanks for your answer. It seems the Deep Learning Specialization (https://www.coursera.org/specializations/deep-learning) covers tensorflow, but I’m not sure it covers pytorch. I might be wrong, since I’m only in the middle of it.
If the Deep Learning specialization doesn’t cover pytorch, which specialization/course would you recommend in order to learn it please? I like the DeepLearning.AI courses, and would be interested in your recommendation.
Thank you!
All the specializations here use TensorFlow except one: the GANs specialization is the only one I’m aware of that uses PyTorch. They give a very nice introduction to it leading up to the first programming assignment in GANs Course 1. So taking GANs after you finish DLS would be my recommendation for how to learn at least the basics of PyTorch.
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I should also mention that the GANs Specialization is really interesting in its own right: it’s completely new material that’s not covered anywhere else in the DLAI courses. The material is presented by Prof Sharon Zhou, who is a really good lecturer. The whole specialization is really well done and interesting. And you get to learn torch as a nice side effect. 
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For new learner, I recommend pytorch. it’s intuitive interface.
Either one is great, pick one and start your learning with it, you can learn the other when you will need it for a particular job or project.
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