Hyperparameter Tuning Platforms are Becoming a New Market in the Deep Learning Space

A few days ago, Amazon announced the availability of a new set of automatic model tuning capabilities in the AWS SageMaker platform. Specifically, the new releases focuses on tuning and optimizing hyperparameters associated with SageMaker models. The release constitutes a powerful addition in order to streamline the adoption of SageMaker within the data science community. With the new hyperparameter tuning and model optimization capabilities, SageMaker joins a new group of platforms that are entering the market trying to solve this notorious challenge in deep learning applications. Building deep learning solutions in the real world is a process of constant experimentation and optimization.