machine-learning video for a robotics company is training a deep learning model in Amazon SageMaker Studio to optimize the movement of autonomous robots in a
A robotics company is training a deep learning model in Amazon SageMaker Studio to optimize the movement of autonomous robots in a warehouse. The training process involves fine-tuning a pre-trained model on a large dataset of movement trajectories. In previous training runs, the company encountered issues such as vanishing gradients, underutilized GPUs, and overfitting, leading to suboptimal model performance and wasted resources. The company’s ML engineer needs a solution that meets the following requirements with the LEAST operational overhead: Detect these training issues in real-time. Automatically react to these issues by stopping training or triggering notifications. Provide comprehensive metrics for monitoring without increasing operational complexity. What do you suggest?