대학교 공부/데이터마이닝 (2023)
- 13주차 - 시계열 분석, RNN, LSTM, BiLSTM, Stacked RNN 2023.06.18
- 12주차 - Auto Encoder, PCA, Noise Reduction, Anomaly Detection, Colorization, Image Search 2023.06.18
- 11주차 - Batch Normalization, Kernal Regularization, Transfer Learning 2023.06.18
- 10주차 - Convolutional Layer, Fashion Mnist Data, Cifar10 Data 2023.06.18
- 8주차 - CNN 실습, 파라미터 수 계산 2023.06.18
- 7주차 - CNN, Convolution Layer, Zero Padding 2023.05.23
- 6주차 - XOR 문제 구현, Gradient Vanishing Problem, Xavier Initialization, Drop Out, Batch Normalization, Optimizer 2023.04.27 1
- 5주차 - Cross Entropy Function들, Neural Network, 가중치 구하기, 신경망 모형 설계하기, Backpropagation 2023.04.27