Archives for deep double descent
“Double descent does not happen through depth.” The double descent curve, tells that increasing model capacity past the interpolation threshold can lead to a decrease in test error. Increasing neural network capacity through width leads to double descent. But what about the depth of the neural network? How does increase or reduction in-depth play out…
The post Do Convolutional Networks Perform Better With Depth? appeared first on Analytics India Magazine.
The artificial intelligence sector sees over 14,000 papers published each year. This field attracts one of the most productive research groups globally. AI conferences like NeurIPS, ICML, ICLR, ACL and MLDS, among others, attract scores of interesting papers every year. The year 2019 saw an increase in the number of submissions. via Oreilly This year…
The post Top 14 Machine Learning Research Papers Of 2019 appeared first on Analytics India Magazine.
Neural networks are trained to exactly fit the data. Such models usually would be considered as over-fitting, and yet they have managed to obtain high accuracy on test data. It is counter-intuitive — but it works. This has raised many eyebrows, especially regarding the mathematical foundations of machine learning and their relevance to practitioners. In…
The post Why Big Is Not Always Better In Machine Learning appeared first on Analytics India Magazine.