Modern complex AI techniques, such as deep learning are naturally opaque. This talk will demystify Deep Learning and provide insights on how by understanding the Mathematical and Programming Architecture behind it, we can make AI systems Explainable. The talk will illustrate how by understanding the mathematical optimization methods behind deep learning algorithms we can understand the Machine’s decision making process. Banking in simple terms is all about using deposits made by public for lending and investments. When decisions are taken in a Bank using savings from public, it’s quite natural that those decisions need to be explainable. This is a straight forward expectation from all banking regulators. Hence by being able to interpret and explain how an algorithm took a financial decision is key to getting the green signal from regulators on using Deep Learning algorithms for applications in Banking services.
Deep Learning and Optimization By Debapratim Dutta Head of Data Science at Maybank big data in healthcare
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