Not all of the decision-making by Deep Learning algorithms are well understood.
Not all of the decision-making by Deep Learning algorithms are well understood. £3.5M programme will combine theory, modelling, data and computation to improve our understanding of deep learning, making it more accountable and transparent. Last updated on Monday 7 June 2021 - A team of UK scientists from the universities of Bath, Cambridge and UCL aims to make Deep Learning (DL) more accountable and transparent by better understanding the decision making process behind the algorithms. The team of mathematicians, statisticians and image processing experts has been awarded a five-year Programme Grant worth £3.5M by the EPSRC on 'The Mathematics of Deep Learning' (Maths4DL), starting in January 2022. Machine learning, in particular Deep Learning (DL) based on 'neural networks', is one of the fastest growing areas of modern science and technology, which has potentially an enormous and transformative impact on all areas of our lives. The applications of DL embrace many disciplines such as biomedical sciences, computer vision, the physical sciences, the social sciences, speech recognition, gaming, music and finance. However, alongside this explosive growth has been a concern about the lack of understanding behind DL and the way that DL based algorithms make their decisions.
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