Sökning: "stokastiska gradientmetoder"
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1. A Study of the Loss Landscape and Metastability in Graph Convolutional Neural Networks
Master-uppsats, KTH/Matematisk statistikSammanfattning : Many novel graph neural network models have reported an impressive performance on benchmark dataset, but the theory behind these networks is still being developed. In this thesis, we study the trajectory of Gradient descent (GD) and Stochastic gradient descent (SGD) in the loss landscape of Graph neural networks by replicating Xing et al. LÄS MER
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