Bernstein_Poster_2024/avg_pooling_mlp_x2/plot.py
David Rotermund 12eb04e446 New Sims
2024-11-05 18:20:02 +01:00

15 lines
254 B
Python

import numpy as np
import matplotlib.pyplot as plt
data = np.load("data_log.npy")
plt.loglog(
data[:, 0],
100.0 * (1.0 - data[:, 1] / 10000.0),
"k",
)
plt.legend()
plt.xlabel("Epoch")
plt.ylabel("Error [%]")
plt.title("CIFAR10")
plt.show()