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Python Deep Learning Tips - How to Buil a Deep Forward Network in Tensorflow with the Sequential API




In Python use Tensorflow to build a deep forward deep learning architecture. The problem with such a long network is finding the correct hyperparameters that will make it work. So many dense layers has the potential problem of confusing our network and it won't be able to make good predictions.


The trick to finding the right architecture is setting up an experiment. In the form of loop in Python and iterate through all the possible learning rates, neurons, and activation functions to will give use good predictions.








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