딥러닝 파라미터, 라이브러리 정리

🔷 딥러닝 파라미터 정리

	선형 회귀	로지스틱 회귀	멀티클래스 분류
output layer activation	X (or linear)	sigmoid	softmax
loss	mse	binary_crossentropy	categorical crossentropy

 

 

🔷 라이브러리 불러오기

import tensorflow as tf
from tensorflow import keras

 

🔹 train set / test set 구분하기

from sklearn.model_selection import train_test_split

 

🔹 One-hot Encoding

from tensorflow.kears.utils import to_categorical

 

🔹 모델 시각화

from tensorflow.keras.utils import plot_model

=>

plot_model(model, show_shapes=True)

 

🔹 EarlyStopping

from tensorflow.keras.callbacks import EarlyStopping

 

🔹 Modelcheckpoint

from tensorflow.keras.callbacks import ModelCheckpoint

 

🔹 model, layers

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout