blusson/PT21-22-Reseau-Neurones
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rien

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eynard
2022-03-10 15:09:20 +01:00
parent dcddbd017f
commit 5cdc7b52e1
4 changed files with 6 additions and 5 deletions
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5
sobek/network.py
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@@ -1,5 +1,6 @@
import random
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import pickle
@@ -93,7 +94,7 @@ class network:
vizualisationFrame = np.empty((30, 30))
for x in range(30):
for y in range(30):
vizualisationFrame[x][y] = self.process(np.array([float(x), float(y)]))
vizualisationFrame[x][y] = self.process(np.array([float(x)/30, float(y)/30]))
vizualisationData.append([graph.imshow(vizualisationFrame, animated=True)])
inputBatches = [inputs[j:j+batchSize] for j in range(0, len(inputs), batchSize)]
@@ -135,7 +136,7 @@ class network:
print(self.accuracy(accuracyInputs, accuracyDesiredOutputs))
if (visualize):
ani = animation.ArtistAnimation(fig, vizualisationData, interval=100)
ani = animation.ArtistAnimation(fig, vizualisationData, interval=100, repeat_delay=1000)
plt.show()
def __Error(self, layer, neuron):