This webinar featured: 
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* 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: 
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* 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: 
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* 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:
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* Securely recording every version of a dataset
* How entire datasets are stored in Artifacts
* Achievement of rich analysis and governance of your models

Watch W&B Co-founder Chris Van Pelt walk through a few NLP use-cases and demonstrate how W&B can accelerate progress.

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