TensorFlow vs PyTorch
The cluster centers on debates comparing TensorFlow to PyTorch and other frameworks like Keras, JAX, and Theano, with many users advocating PyTorch as superior due to ease of use and performance while questioning TensorFlow's dominance.
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Is TensorFlow really that much better than Torch and the others, or is it just the Google brand that gave it the extra juice?
Not even a mention of TensorFlow or Torch?
Don't use TF though, go with PyTorch or maybe JAX.
Why do you believe "Tensorflow sucks", and why do you believe PyTorch or Caffe2 is better, and for what metrics?
Where does Tensorflow stand in this?
How does it compare to TensorFlow?
I don't take Tensorflow seriously anymore... PyTorch is the way to go (gotta try caffe2 at some point).
Why would you prefer Pytorch to Tensorflow/Keras?
Why would I use tensorflow when pytorch exists?
Thanks a bunch! Your support means a lot. I'll take a look at TensorFlow and Keras.