※Please note: This speech will be conducted in Mandarin※

報名網址：https://goo.gl/forms/HqTC2diriOOUocnv1

《上課日期 Date》2018/09/13

《上課時間Time》13:30-16:30

《上課地點Venue》國網中心-新竹分部電腦教室B National Center for High-performance Computing (新竹市科學園區研發六路7號)

《授課講師Speaker》Sara (鈦思科技講師)

《課程簡介 Description》 此課程介紹深度學習中用來實現影像分類的卷積神經網絡(Convolution Neural Network)，您可以直接使用多種專家的模型，例如ResNet, Inception-v3來進行遷移式學習，抑或是自己設計深度學習網絡。課程的最後教導如何訓練物體偵測器。This course focuses on convolution neural network(CNN). We will learn how to create and train CNN with NVIDIA GPU. Download pretrained networks to do transfer learning. At last, train object detector with deep learning algorithms, such as R-CNN, Fast R-CNN, and Faster R-CNN.

《課程大綱 Agenda》 What is Deep Learning?Layers in Convolution Neural NetworkImage classification using pre-trained networkTrain a new modelObject detection