Amazon Web Services Inc. today launched a new open-source library to help developers write, with just a few lines of code, machine learning-based applications that use image, text or tabular data sets. Building machine learning apps that rely on such data isn’t an easy task. For example, developers need to know how to tune the “hyperparameters” that represent the choices made when constructing an AI model. They also need to grapple with issues such as neural architecture search, which enables them to find the best architecture design for their machine learning models.
[Source: Silicon Angle]
