Practical AI Visualizing and understanding RNNs
Jun 4, 2019
Andreas Madsen, a freelance ML/AI engineer and author at Distill.pub, dives into the captivating world of neural network visualization. He explains the significance of visualizing recurrent neural networks, including LSTMs and GRUs, to enhance understanding and trust in AI models. Andreas shares his transition from web development to AI, discussing freelancing challenges and the need for effective client communication. The conversation also highlights the importance of interactivity in data visualization, making complex concepts more accessible.
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Bank's AI Explainability Issue
- Andreas Madsen was inspired by a bank's struggle to use a successful loan prediction model.
- Advisors distrusted the model, making explanation to customers difficult.
Visualizations for Deeper Understanding
- Visualizing neural networks helps understand model behavior beyond simple performance metrics.
- Different models with similar accuracy can have vastly different internal mechanisms.
Effective Visualization Strategies
- Use understandable datasets and interactive visualizations to understand model behavior.
- Interactive feedback loops help build intuitive understanding.
