Gary(Chang, Chih-Chun)inDeep Learning#gCNN Architectures — VGGNetSmall filters, deeper network.2 min read·Jun 4, 2018--1--1
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.5 min read·Jun 3, 2018----
Gary(Chang, Chih-Chun)inDeep Learning#gBatch NormalizationA method that accelerates training of deep neural networks by reducing Internal Covariant Shift3 min read·Jun 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…3 min read·May 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…2 min read·May 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.2 min read·May 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…3 min read·May 18, 2018--1--1
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…2 min read·May 6, 2018--1--1
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…2 min read·May 1, 2018----
Gary(Chang, Chih-Chun)inDeep Learning#gStochastic Gradient DescentCost Function?2 min read·Apr 30, 2018----
