Keras 참고자료

(tensorflow backend)

• 설치

pip install keras

• import

import tensorflow as tf

import keras

버젼 확인

tf.__version__

keras.__version__

추가로 함께 import 하면 좋은 것들

import numpy as np

import matplotlib.pyplot as plt

• 공부자료

모델링 방법 Sequential API, Functional API

http://leestation.tistory.com/777

간단한 NN

http://pinkwink.kr/1119?category=580892 (타이타닉 생존)

CNN

http://pinkwink.kr/1121 (MNIST)

학습된 모델 불러오기

http://pinkwink.kr/1122

RNN

https://datascienceschool.net/view-notebook/1d93b9dc6c624fbaa6af2ce9290e2479/ (싸인 그래프 예측)

LSTM

https://tykimos.github.io/2017/04/09/RNN_Layer_Talk/ (나비야 노래)

AutoEncoder

https://blog.keras.io/building-autoencoders-in-keras.html (기본 AE부터 VAE까지)

위 글 요약번역 http://leestation.tistory.com/775

https://d2.naver.com/news/0956269

https://lilianweng.github.io/lil-log/2018/08/12/from-autoencoder-to-beta-vae.html

VAE설명

https://youtu.be/vmeJdZQNuGA

GAN

http://leestation.tistory.com/776

미리 구현된 함수형태 코드

https://github.com/Machine-Learning-Tokyo/DL-workshop-series/blob/master/ConvNets.ipynb?fbclid=IwAR3BASdXssKc-CHuqMHx39DYfwnDZP6wUDqhyOdHXgoRQFZ5r4-NVgytOE8