Neural Decision Trees
Joseph discusses the challenges of model explainability in machine learning, particularly as models become more complex. He explores the potential of integrating decision trees with deep learning to enhance interpretability, allowing for a clearer understanding of how decisions are made. This approach aims to connect model outputs back to the data, providing insights into the decision-making process and improving transparency in AI systems.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378
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