Gary(Chang, Chih-Chun)inDeep Learning#gCNN Architectures — VGGNetSmall filters, deeper network.Jun 4, 20181Jun 4, 20181
Gary(Chang, Chih-Chun)inDeep Learning#gCNN Architectures — AlexNetThe first deep learning paper that showed state of the art performance in a real computer vision task.Jun 3, 2018Jun 3, 2018
Gary(Chang, Chih-Chun)inDeep Learning#gBatch NormalizationA method that accelerates training of deep neural networks by reducing Internal Covariant ShiftJun 2, 2018Jun 2, 2018
Gary(Chang, Chih-Chun)inDeep Learning#gVisualize Your Networks in TensorboardI’m implementing some prominent CNN architectures in Tensorflow, and I found that it’s hard to debug especially when there are thousand…May 29, 2018May 29, 2018
Gary(Chang, Chih-Chun)inBlockchain#gBitcoin Introduction“The block chain provides Bitcoin’s public ledger, an ordered and timestamped record of transactions. This system is used to protect…May 20, 2018May 20, 2018
Gary(Chang, Chih-Chun)inDeep Learning#gRegularizationRegularization is a common way to avoid model overfitting by adding an extra term in the loss function.May 19, 2018May 19, 2018
Gary(Chang, Chih-Chun)inDeep Learning#gBuild Lenet from ScratchLenet is a classic example of convolutional neural network to successfully predict handwritten digits. In this example, I built the network…May 18, 20181May 18, 20181
Gary(Chang, Chih-Chun)inDeep Learning#gHandwritten Digit Recognition Using Neural Network“The MNIST database of handwritten digits, available from the website, has a training set of 60,000 examples, and a test set of 10,000…May 6, 20181May 6, 20181
Gary(Chang, Chih-Chun)inDeep Learning#gBackpropagationWe use gradient descent to find the best parameter set to minimize the cost, so it is necessary to compute the gradients of the cost…May 1, 2018May 1, 2018
Gary(Chang, Chih-Chun)inDeep Learning#gStochastic Gradient DescentCost Function?Apr 30, 2018Apr 30, 2018