This webinar featured: 
‍
* Best practices on reproducible, organized, and effective NLP
* What a neural network thinks of your
twitter feed
* Contemporary NLP with pre-trained attention-based models
* Features like metric logging, hyperparameter optimization, and artifact tracking

In this session DL engineer, Stacey Svetlichnaya talked about: 
‍
* How to filter, sort and group metrics interactively in the W&B dashboard
* Sharing results with team members through reports
* W&B benchmarks: SafeLife, DeepForm, DroneDeploy & others

In this session DL engineer, Stacey Svetlichnaya talked about: 
‍
* Central self-driving subproblems such as semantic segmentation and object detection
* How reports let you organize your work, describe findings, and share updates with colleagues
* Insights applicable to other domains such as medical imaging, satellite data, microscopic slides and more

Rewatch how the audience joined Chris in his live Colab workspace to version datasets in a W&B managed project. You will learn about:
‍
* Securely recording every version of a dataset
* How entire datasets are stored in Artifacts
* Achievement of rich analysis and governance of your models

See in this webinar how Sairam Sundaresan & J. Emmanuel Johnson incorporated W&B in their pipeline to estimate rotation periods of several thousands of stars and reflect upon how it was a crucial component in the team's success, taking them from a digital whiteboard containing infinitely many possibilities to a single clear path which led them to a NeurIPS workshop paper in just a couple of months.

In this webinar deep learning educator, Charles Frye discussed: 
‍
* Collaboration in unified workspaces
* Managing the visibility of ML projects across teams, stakeholders & academic community
* Visualization in live dashboards for fast experimentation