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import matplotlib.pyplot as plt | |
class Robot: # 가상의 로봇이 라인트레싱을 한다고 해봅시다. | |
def __init__(self, error): | |
self.current_error = error | |
self.last_action = 0 | |
def take_action(self, action): | |
self.current_error += 0.1 * action | |
self.last_action = action |
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import math | |
import torch | |
from torch.autograd import Variable | |
import matplotlib.pyplot as plt | |
import numpy as np | |
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') | |
def num_division(value): | |
count = 0 |
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from sklearn import datasets | |
images = datasets.load_digits().images | |
def show_video(images: list): | |
%matplotlib inline | |
import matplotlib.pyplot as plt | |
from matplotlib import animation, rc | |
from IPython.display import HTML | |
import numpy as np | |
plt.rcParams["animation.html"] = "html5" |