Maybe, I’m asking sth which has been questioned similarly many times, but I can’t find an exact answer to my question, so I’m asking one more time here.
Throughout this course, fastai is used instead of Keras+TensorFlow. At the FAQ of this forum, it also mentions why it is in this way, say the limitation of TF + Keras (they are much slower, result in less accurate models, and take more code)
My question is, is there limitation for fastai ( <1> on its own <2> in comparison to TF + Keras) ? If fastai is better than TF + Keras in all areas, can we forget TF + Keras at all ?
I hope that this question, and the coming discussion can let us have better understanding on both fastai and TF + Keras. Thanks !