Bei Wang (5, 20, 20): Topo Act: Visually exploring the shape of activations in deep learning
Speaker: Bei Wang Title: TopoAct: Visually exploring the shape of activations in deep learning Abstract: Deep neural networks such as GoogLeNet and ResNet have achieved impressive performance in tasks like image classification. To understand how such performance is achieved, we can probe a trained deep neural network by studying neuron activations, that is, combinations of neuron firings, at any layer of the network in response to a particular input. With a large set of input images, we aim to obtain a gl
|
|