Accelerating Autonomous Vehicle Deep Learning Development

What to expect?

Deep learning workloads for autonomous vehicle development, such as object detection and image segmentation, face MLOps challenges at a scale not seen in other industries. Experiment tracking, dataset and model versioning, and reproducibility are often manual and disjointed activities, leading to inefficiencies in the model development process. In this webinar, you will learn how Rivian’s deep learning team leverages Weights & Biases to streamline its autonomous vehicle development process. We will also showcase how the Weights & Biases platform streamlines the development process for an image segmentation use case. We will cover Weights & Biases’ automated experiment tracking capabilities, model and artifact tracking, hyperparameter optimization, and collaboration capabilities.