Undergrad-Deeplearning-20Fall

Deep learning course at Hallym University

Python 기초

• Python 기초
• Numpy 활용

ML 기초

• Linear regression 의 개념 및 구현
• Perceptron 이해 및 Multi-layer Perceptron
• 활성화 함수 (Activation function)
• Numerically stable softmax

Neural Network

• Forward 연산 (3층 신경망)
• 수치적 Gradient 구하기 (1D/2D)
• Gradient Descent Algorithm

Framework - Keras

• AND Gate
• XOR Gate
• Fashion MNIST

Case Study

• Hand pose estimation