This workshop focuses on constructing deep learning models and leveraging the Weights & Biases (wandb) system to streamline model training. Wandb is a powerful tool designed for training and monitoring Python-based deep learning models. Our primary objective is to showcase how wandb can assist in optimizing model parameters to achieve peak performance.
Learning outcomes
- Construct a basic deep learning model.
- Fit the model to a dataset.
- Utilize wandb for efficient training and real-time monitoring of the model.
- Comprehend how wandb and similar agent systems simplify and enhance the deep learning model training process.
Prerequisites
Basic python knowledge
Target audience
Students, researchers that working with data analysis
Required Materials
Bring your own laptop.