How can I visualize negative weights in a neural network?

How can I visualize negative weights in a neural network?

You can visualize negative weights by using color coding in your weight matrices, where negative values are shown in one color.

What tools can I use for this visualization?

Popular tools include Matplotlib for Python, TensorBoard for TensorFlow, and Seaborn for statistical data visualization.

Can you show me an example code snippet?

Sure! Here's a simple example using Matplotlib:

import numpy as np
import matplotlib.pyplot as plt

weights = np.random.uniform(-1, 1, (10, 10))
plt.imshow(weights, cmap='coolwarm')
plt.colorbar()
plt.show()

What does the color coding represent?

In the 'coolwarm' colormap, blue represents negative weights and red represents positive weights, helping to visualize their distribution.