I’ve been trying to solve problems with tensorflow and each new tutorial i take, the syntax for the model architecture is really different. Just how many ways are there to make the same architecture in tensorflow?
How do i get ahead of this learning curve.
sometimes models are created by making a class, “init” is used a lot in such code. wWhat is that?
HAs anybody faces similar problems?
how do i become familiar with tensorflow code?
There are many indeed. I just made my peace in have a way I like to model problems and the tool that make me focus on the problem instead of syntax of the framework. Then I moved to PyTorch!
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Yea. I read a lot and most people seem to prefer pytorch for rapid prototyping. Also there’s no point in spending time on TensorFlow until tf2.0 arrives.