KT AIVLE AI 3기 ┃ 5주차(2.27 ~ 3.3) - Deep Learning

5주차(2.27 ~ 3.3) 일정

날짜	주제	카테고리
2/27	Deep Learning	Tensorflow & Keras / Sequential API
2/28	Deep Learning	Tensorflow & Keras / Sequential API
3/1	삼일절	-
3/2	Deep Learning	MNIST
3/3	Deep Learning	Functional API & Locally Connected

 

Deep Learning

1) Deep Learning

• Artificial Neural Network (ANN, 인공 신경망)

2) with Tensorflow & Keras

• Tensorflow & Keras 개요
• Sequential API,  Functional API
• 인공 신경망 구조(Input/Output/Hidden Layer)
• 선형 회귀, 로지스틱 회귀, 멀티 클래스
• 손실 함수(MSE, Binary Cross-Entropy, Categorical Cross-Entropy)
• Batch & Epochs, Optimizer(Adam)
• EarlyStopping, ModelCheckpoint
• Add, Concanate

 

	선형 회귀	로지스틱 회귀	멀티클래스 분류
output layer activation	linear	sigmoid	softmax
loss functions	mse, mae 등	binary crossentropy	categorical crossentropy

 

3) MNIST & Fashion MNIST

MNIST in ColabFashion MNIST in Colab