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Keras is typically used with TF and hence not comparable directly. TF 2.x is much simpler to use especially with Keras. Pytorch has a different approach and more intuitive for programmers due to imperative programming style.
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Thanks!! I have a question, you said in the last part first that PyTorch is preferred for researchers then you said "if you do research type of work, then use TensorFlow". I'm confused about which to work within research. If I want to modify the structure for a state-of-the-art model such as LSTM which is better to use?
you all prolly dont care but does anyone know a method to get back into an instagram account? I was dumb lost the password. I would love any tips you can give me
Many contradictions, including on debugging. its just read from a script! Researchers tend to experiment more with new features and in such cases TF 2.x is better according to me.
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Keras is typically used with TF and hence not comparable directly. TF 2.x is much simpler to use especially with Keras. Pytorch has a different approach and more intuitive for programmers due to imperative programming style.
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Amazing video! Thanks
Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.
Thanks!! I have a question, you said in the last part first that PyTorch is preferred for researchers then you said "if you do research type of work, then use TensorFlow". I'm confused about which to work within research. If I want to modify the structure for a state-of-the-art model such as LSTM which is better to use?
you all prolly dont care but does anyone know a method to get back into an instagram account?
I was dumb lost the password. I would love any tips you can give me
Many contradictions, including on debugging. its just read from a script! Researchers tend to experiment more with new features and in such cases TF 2.x is better according to me.
think for research, just TF would make sense.
@@messiahjordy1018 "forgot password" ?
this video is simply excellent.
Hey, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
thanks for the video, just realised i was doing the wrong framework all this time, being a newbie.
You are welcome!
Thank you for a sincere review
Glad it was helpful! Thank you for watching!
Great video !
Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.
the most awaited video i got
Glad you enjoyed it! Thank you for watching!
Nice
Thank you for watching!
what language is this? i hardly distinct a word
Love this video @Simpilylearning
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