Introduction
In this lab, we will learn how to use Hinton diagrams for visualizing weight matrices. Hinton diagrams are very useful when you want to visualize a 2D array, such as a weight matrix. Positive and negative values are represented by white and black squares, respectively, and the size of each square represents the magnitude of each value.
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Importing Libraries
We will start by importing the necessary libraries for this lab. In this case, we will need matplotlib and numpy.
import matplotlib.pyplot as plt
import numpy as np
Defining the Hinton Function
Next, we will define a function called hinton
that will generate the Hinton diagram. This function takes in a matrix, which is the weight matrix that we want to visualize, and a max_weight parameter, which is an optional parameter that specifies the maximum weight value for normalization purposes.
def hinton(matrix, max_weight=None, ax=None):
"""Draw Hinton diagram for visualizing a weight matrix."""
ax = ax if ax is not None else plt.gca()
if not max_weight:
max_weight = 2 ** np.ceil(np.log2(np.abs(matrix).max()))
ax.patch.set_facecolor('gray')
ax.set_aspect('equal', 'box')
ax.xaxis.set_major_locator(plt.NullLocator())
ax.yaxis.set_major_locator(plt.NullLocator())
for (x, y), w in np.ndenumerate(matrix):
color = 'white' if w > 0 else 'black'
size = np.sqrt(abs(w) / max_weight)
rect = plt.Rectangle([x - size / 2, y - size / 2], size, size,
facecolor=color, edgecolor=color)
ax.add_patch(rect)
ax.autoscale_view()
ax.invert_yaxis()
Generating a Hinton Diagram
Now, we will generate a random weight matrix using numpy and then use the hinton
function to generate the Hinton diagram.
if __name__ == '__main__':
# Fixing random state for reproducibility
np.random.seed(19680801)
hinton(np.random.rand(20, 20) - 0.5)
plt.show()
Summary
In this lab, we learned how to use Hinton diagrams for visualizing weight matrices. We defined a function called hinton
that generates the Hinton diagram and then used it to generate a random weight matrix. Hinton diagrams are very useful for visualizing 2D arrays, such as weight matrices, and can be used to quickly identify patterns and trends in the data.
π Practice Now: Visualizing Weight Matrices With Hinton Diagrams
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