Deep learning and AI development is key for enterprises and digital native organizations to transform their business leveraging capabilities such as computer vision, natural language processing, and text and image generation. While the benefits are clear, access to the necessary technologies and infrastructure can hamper machine learning development and efficiency.
In this workshop, you will learn how Amazon SageMaker provides capabilities and the underlying compute infrastructure for data set preparation, model training & tuning, and model deployment. We will also cover Weights & Biases’ automated experiment tracking capabilities, model and artifact tracking, hyperparameter optimization, and collaboration capabilities.
Last, we will give a hands-on example of how Weights & Biases and Amazon SageMaker streamlines the development process for an image segmentation use case for autonomous vehicle development.