When designing the architecture for an artificial neural network, there exist a variety of parameters that can be tuned. It is indeed an art in itself to find the right combination for these parameters to achieve the highest accuracy. In this blog post, we are testing the usage of Talos for hyperparameter optimization of a neural network.
We build it. You rock it.
Welcome to our blog - the place where we share everything analytics, big data, and machine learning.