Deep Learning and The Modern Era of Statistics: Unveiling NCP Architecture, Double Descent, Kolmogorov Functions, Robustness, and Effective Dimensionality
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Deep Learning and The Modern Era of Statistics: Unveiling NCP Architecture, Double Descent, Kolmogorov Functions, Robustness, and Effective Dimensionality

Deep learning has revolutionized the field of artificial intelligence, pushing the boundaries of what is possible with statistical modelling and inference. In this comprehensive blog post, we embark on a journey through the modern era of statistics, exploring the intersection of deep learning and statistical principles. We delve into key concepts such as the Neural…

Unleashing Creativity: Exploring Deep Generative Modelling
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Unleashing Creativity: Exploring Deep Generative Modelling

Deep Generative Modelling is a fascinating field at the intersection of machine learning and artificial intelligence, dedicated to creating models that generate new data with remarkable creativity. In this blog post, we embark on a journey through the world of deep generative models, exploring their significance, different approaches such as variational autoencoders (VAEs) and generative…