neural-net-drawer 0.0.4

# Install the neural-net-drawer package via pip
pip install neural-net-drawer

# Import necessary libraries
import matplotlib.pyplot as plt
from neural_net_drawer.drawer import NeuralNetworkDiagram

# Example usage
fig = plt.figure(figsize=(9, 9))
ax = fig.gca()
ax.axis('off')

# Create an instance of the NeuralNetworkDiagram class
nn_diagram = NeuralNetworkDiagram()

# Call the method to draw the neural network diagram
nn_diagram.draw_neural_net(ax, [7, 5, 4, 3, 4, 2, 1])

plt.show()

# Example usage with customizations
fig = plt.figure(figsize=(9, 9))
ax = fig.gca()
ax.axis('off')

# Create an instance of the NeuralNetworkDiagram class
nn_diagram = NeuralNetworkDiagram()

# Set maximum number of layers to display
nn_diagram.max_n_layers_size = 3

# Set maximum number of neurons per layer to display
nn_diagram.max_layer_size = 10

# Call the method to draw the neural network diagram
nn_diagram.draw_neural_net(ax, [7, 5, 4, 3, 4, 2, 1])

plt.show()

# Example usage with further customizations
fig = plt.figure(figsize=(9, 9))
ax = fig.gca()
ax.axis('off')

# Create an instance of the NeuralNetworkDiagram class
nn_diagram = NeuralNetworkDiagram()

# Set maximum number of layers to display
nn_diagram.max_n_layers_size = 3

# Hide neuron numbers
nn_diagram.show_neuron_numbers = False

# Call the method to draw the neural network diagram
nn_diagram.draw_neural_net(ax, [7, 5, 4, 3, 4, 2, 1])

plt.show()