두다다다다다다다
두다다다다다다다
(∩`・ω・)
_/_ミつ/ ̄ ̄ ̄/
\/___/
diginori / cup_deeplearning_seminar Goto Github PK
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This project forked from dhrim/cup_deeplearning_seminar
1교시에서
import numpy as np
import pandas as pd
import tensorflow as tf
from tensorflow import keras
import numpy as np
import matplotlib.pyplot as plt
import time
x1 = np.arange(0, 10, 0.1)
np.random.shuffle(x1)
x2 = np.arange(0, 10, 0.1)
np.random.shuffle(x2)
x = np.ones((x1.shape[0],2))
x[:,0] = x1
x[:,1] = x2
np.random.shuffle(x)
y = np.sum(x, axis=1)
s = int(x.shape[0]*0.6)
train_x, test_x = x[:s], x[s:]
train_y, test_y = y[:s], y[s:]
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