Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...
Abstract: Recent research in deep Convolutional Neural Networks(CNN) faces the challenges of vanishing/exploding gradient issues, training instability, and feature redundancy. Orthogonality ...
Abstract: We analyze why the orthogonality penalty improves quantization in deep neural networks. Using results from perturbation theory as well as through extensive experiments with Resnet50, ...
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The course provides an introduction to the use of mathematics as a tool for understanding physical processes. The main emphasis is on linear algebra, in particular as a tool for understanding discrete ...