I have some code about hopfield network. I am trying to train some letters with hebbian training and then add noise and denoise them. However, I have problem with libraries. I did a search but I cant find the right answer to my problem. Hopfieldnet library is not working and if I try to replace it I take other errors. Can u help me?
from random import randint
import numpy as np
import HopfieldNetwork
from hopfieldnet.trainers import hebbian_training
from matplotlib import pyplot as plt
# Create the training patterns
j_pattern = np.array([[1, 1, 1, 1, 1],
[0, 0, 1, 0, 0],
[0, 0, 1, 0, 0],
[0, 0, 1, 0, 0],
[0, 0, 1, 0, 0],
[1, 0, 1, 0, 0],
[1, 1, 1, 0, 0]])
a_pattern = np.array([[0, 0, 1, 0, 0],
[0, 1, 0, 1, 0],
[1, 0, 0, 0, 1],
[1, 1, 1, 1, 1],
[1, 0, 0, 0, 1],
[1, 0, 0, 0, 1],
[1, 0, 0, 0, 1]])
m_pattern = np.array([[1, 0, 0, 0, 1],
[1, 1, 0, 1, 1],
[1, 0, 1, 0, 1],
[1, 0, 0, 0, 1],
[1, 0, 0, 0, 1],
[1, 0, 0, 0, 1],
[1, 0, 0, 0, 1]])
e_pattern = np.array([[1, 1, 1, 1, 1],
[1, 0, 0, 0, 0],
[1, 0, 0, 0, 0],
[1, 1, 1, 1, 1],
[1, 0, 0, 0, 0],
[1, 0, 0, 0, 0],
[1, 1, 1, 1, 1]])
s_pattern = np.array([[1, 1, 1, 1, 1],
[1, 0, 0, 0, 0],
[0, 1, 0, 0, 0],
[0, 0, 1, 0, 0],
[0, 0, 0, 1, 0],
[0, 0, 0, 0, 1],
[1, 1, 1, 1, 1]])
j_pattern *= 2
j_pattern -= 1
a_pattern *= 2
a_pattern -= 1
m_pattern *= 2
m_pattern -= 1
e_pattern *= 2
e_pattern -= 1
s_pattern *= 2
s_pattern -= 1
input_patterns = np.array([j_pattern.flatten(), a_pattern.flatten(), m_pattern.flatten(), e_pattern.flatten(), s_pattern.flatten()])
# Create the neural network and train it using the training patterns
network = HopfieldNetwork(35)
hebbian_training(network, input_patterns)
# Create the test patterns by using the training patterns and adding some noise to them
# and use the neural network to denoise them
j_test = j_pattern.flatten()
for i in range(4):
p = randint(0, 34)
j_test[p] *= -1
j_result = network.run(j_test)
j_result.shape = (7, 5)
j_test.shape = (7, 5)
a_test = a_pattern.flatten()
for i in range(4):
p = randint(0, 34)
a_test[p] *= -1
a_result = network.run(a_test)
a_result.shape = (7, 5)
a_test.shape = (7, 5)
m_test = m_pattern.flatten()
for i in range(4):
p = randint(0, 34)
m_test[p] *= -1
m_result = network.run(m_test)
m_result.shape = (7, 5)
m_test.shape = (7, 5)
e_test = e_pattern.flatten()
for i in range(4):
p = randint(0, 34)
e_test[p] *= -1
e_result = network.run(e_test)
e_result.shape = (7, 5)
e_test.shape = (7, 5)
s_test = s_pattern.flatten()
for i in range(4):
p = randint(0, 34)
s_test[p] *= -1
s_result = network.run(s_test)
s_result.shape = (7, 5)
s_test.shape = (7, 5)
# Show the results
plt.subplot(3, 2, 1)
plt.imshow(j_test, interpolation="nearest")
plt.subplot(3, 2, 2)
plt.imshow(j_result, interpolation="nearest")
plt.subplot(3, 2, 3)
plt.imshow(a_test, interpolation="nearest")
plt.subplot(3, 2, 4)
plt.imshow(a_result, interpolation="nearest")
plt.subplot(3, 2, 5)
plt.imshow(m_test, interpolation="nearest")
plt.subplot(3, 2, 6)
plt.imshow(m_result, interpolation="nearest")
plt.subplot(3, 2, 7)
plt.imshow(e_test, interpolation="nearest")
plt.subplot(3, 2, 8)
plt.imshow(e_result, interpolation="nearest")
plt.subplot(3, 2, 9)
plt.imshow(s_test, interpolation="nearest")
plt.subplot(3, 2, 10)
plt.imshow(s_result, interpolation="nearest")
plt.show()
The error:
"C:/Users/chriss/PycharmProjects/untitled3/hopfield.py", line 3, in <module> import HopfieldNetwork ModuleNotFoundError: No module named 'HopfieldNetwork'
Not sure if it is actual solution to the problem. I cannot reproduce the error. Code works for me after 3 slight modifications.
(1) Imports
from random import randint
import numpy as np
from hopfieldnet.net import HopfieldNetwork # modified import
from hopfieldnet.trainers import hebbian_training
from matplotlib import pyplot as plt
(2) Drawing
plt.subplot(3, 4, ...) # 3 * 4 = 12 places for 10 plots
(3) hopfieldnet module -> net.py -> class HopfieldNetwork -> method run
update_list = list(range(self._num_inputs)) # list(range(...)) instead of just range(...)