Module- DeepLearning 기본이해
- DeepLearning 이론/구성요소
- 데이터 성능평가
- 데이터 분석
- Linear Regression 실습
Module - Neual Network기본
- Intro to ANN (Artificial Neural Networks)
- Perceptron & Backpropagation
- Vanishing Gradient Problem
- Activation Functions
- Optimization
- Loss function
Module - R-CNN
- CNN (Convolutional Neural Networks) 개념 / 특징 / 구조
- Convolutional layers
- Activation
- Pooling
- Batch Normalization
- Dropout
- DeepLearning 이론/구성요소
- 데이터 성능평가
- 데이터 분석
- Linear Regression 실습
Module - Neual Network기본
- Intro to ANN (Artificial Neural Networks)
- Perceptron & Backpropagation
- Vanishing Gradient Problem
- Activation Functions
- Optimization
- Loss function
Module - R-CNN
- CNN (Convolutional Neural Networks) 개념 / 특징 / 구조
- Convolutional layers
- Activation
- Pooling
- Batch Normalization
- Dropout
