keras

Creating scalable deep learning-based recommendation systems from scratch is a significantly time-consuming task, especially so that we need to spend significant time on the non-productive elements involved in setting up the model for experiments. It is a given that we will need to perform levels of iterations on the model architecture to get optimal hyperparameters for a particular use case. Google has now launched just the instrument required to reduce the non-productive component in that cycle. [Read More]