Revolutionizing Neural Network Development Through Applied Explainability
Developing Neural Networks with Applied Explainability
Unleash your Neural Networks with Applied Explainability, ODSC West, 2022
Changing the Neural Network Development Paradigm
Explain Your Model
How can we utilize model feature extraction to build meaningful latent spaces and apply advanced explainability techniques to understand model weaknesses and gain insights on how to fix them.
Create the Optimal Dataset
How to design better datasets by removing redundant and irrelevant information yet find which samples are needed to achieve the most practical and generally distributed dataset.
Navigate Neural Network Testing and Team Collaboration
How do we improve DNN testing using advanced techniques to find scenarios that should be tested, and how it will improve the dev cycle, team collaboration, and responsiveness.