
ML Models for Safety-Critical Systems with Lucas García - #705
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Convex Neural Networks in Practice
This chapter explores the critical properties of neural networks, such as convexity and monotonicity, particularly in safety-critical applications like battery estimation. It discusses the challenges of incorporating these properties with nonlinear activation functions and the trade-offs involved in model design for performance and reliability. The conversation emphasizes the need for robust machine learning models while addressing the complexities of maintaining desirable mathematical properties.
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