Chapter 00. 딥러닝 프레임워크
(전체 러닝타임: 0:29:47) | 01_딥러닝프레임워크 |
02_TF_Pytorch 비교 | |
03_환경세팅 | |
Chapter 01. Tensor 다루기
(전체 러닝타임: 0:46:46) | 01_Constants |
02_variable | |
03_tensor연산 | |
Chapter 02. 최적화
(전체 러닝타임: 0:39:11) | 01_자동미분 |
02_linear regression | |
03.1_linear regression (당뇨병 데이터) | |
04_perceptron | |
Chapter 03. 간단한 Model 학습 시키기
(전체 러닝타임: 0:41:51) | 01_Deep learning Flow |
02_Deep learning Flow -preprocessing | |
03_Deep learning Flow -modeling | |
04_Deep learning Flow -evaluatation | |
Chapter 04. Modeling
(전체 러닝타임: 1:12:45) | 01_CNN(VGGNet) |
02_CNN(VGGNet)_구현 | |
03_Functional 모델링 | |
04_Functional 모델링 Resnet구현 | |
05_subClass 모델링 | |
06_subClass 모델링 ResNet 구현 | |
Chapter 05. Model 학습
(전체 러닝타임: 0:33:55) | 01_Training via fit |
02_Training Logic | |
Chapter 06. Evaluation
(전체 러닝타임: 0:38:04) | 01_Tensorboard |
02_Model Save and load | |
Chapter 07. Data 다루기
(전체 러닝타임: 0:49:39) | 01_tf.data |
02_tf.data | |
03_tf.data | |
04_tf.data | |
05_ImageDataGenerator | |
06_ImageDataGenerator | |
07_ImageDataGenerator |