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PCA (Principal Component Analysis) by Zongqiao Liu & Wei Zhou

PCA (Principal Component Analysis) by Zongqiao Liu & Wei Zhou

PCA (Principal Component Analysis) by Zongqiao Liu & Wei Zhou. What is PCA?.

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271 views • 26 slides
Dual-force convolutional neural networks for accurate brain tumor segmentation

Dual-force convolutional neural networks for accurate brain tumor segmentation

Dual-force convolutional neural networks for accurate brain tumor segmentation. Shengcong Chen, Changxing Ding, Minfeng Liu 2018. Introduction. Median Survival Time of High-Grade Gliomas patients is less than 2 years Median Survival Time of glioblastoma patients is 4.9 months

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354 views • 19 slides
Lecture 3: CNN: Back-propagation

Lecture 3: CNN: Back-propagation

Lecture 3: CNN: Back-propagation. boris . ginzburg@intel.com. Agenda. Introduction to gradient-based learning for Convolutional NN Backpropagation for basic layers Softmax Fully Connected layer Pooling ReLU Convolutional layer Implementation of back-propagation for Convolutional layer

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1.8k views • 19 slides
CSC 578 Neural Networks and Deep Learning

CSC 578 Neural Networks and Deep Learning

CSC 578 Neural Networks and Deep Learning. 6-1. Convolutional Neural Networks (1) (Some figures adapted from NNDL book ). Convolution Neural Networks. Convolutional Neural Networks Convolution, pooling and fully-connected layers Convolution kernel/filter Local receptive field

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348 views • 16 slides
Object Classification through Deconvolutional Neural Networks Student: Carlos Rubiano

Object Classification through Deconvolutional Neural Networks Student: Carlos Rubiano

Object Classification through Deconvolutional Neural Networks Student: Carlos Rubiano Mentor: Oliver Nina. Network in Network. Model different from typical CNN that aims to enhance discriminability for local patches in receptive field

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226 views • 7 slides

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