neural-net-drawer

Name	neural-net-drawer JSON
Version	0.0.4 JSON
	download
home_page	https://github.com/EvgeniBondarev/Neural-Network-Drawer.git
Summary	Plugin for visual display of a neural network.
upload_time	2024-02-11 21:03:26
maintainer
docs_url	None
author	EvgeniBondarev
requires_python	>=3.7
license
keywords	neural network display visual
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            <div class="cell code" collapsed="false">

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

```

</div>

<div class="cell code" collapsed="false">

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

```

</div>

<div class="cell code" execution_count="5"
ExecuteTime="{&quot;end_time&quot;:&quot;2024-02-07T08:56:55.425789900Z&quot;,&quot;start_time&quot;:&quot;2024-02-07T08:56:55.153634700Z&quot;}"
collapsed="false">

``` python
# 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()

```

<div class="output display_data">

![](https://raw.githubusercontent.com/EvgeniBondarev/Neural-Network-Drawer/master/img/1.png)

</div>

</div>

<div class="cell code" execution_count="13"
ExecuteTime="{&quot;end_time&quot;:&quot;2024-02-07T09:03:39.420467900Z&quot;,&quot;start_time&quot;:&quot;2024-02-07T09:03:39.268470Z&quot;}"
collapsed="false">

``` python
# 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()
```

<div class="output display_data">

![](https://raw.githubusercontent.com/EvgeniBondarev/Neural-Network-Drawer/master/img/2.png)

</div>

</div>

<div class="cell code" execution_count="12"
ExecuteTime="{&quot;end_time&quot;:&quot;2024-02-07T09:01:57.191557900Z&quot;,&quot;start_time&quot;:&quot;2024-02-07T09:01:56.936069200Z&quot;}"
collapsed="false">

``` python
# 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()
```

<div class="output display_data">

![](https://raw.githubusercontent.com/EvgeniBondarev/Neural-Network-Drawer/master/img/3.png)

</div>

</div>

            

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    "description": "<div class=\"cell code\" collapsed=\"false\">\r\n\r\n``` python\r\n# Install the neural-net-drawer package via pip\r\npip install neural-net-drawer\r\n\r\n```\r\n\r\n</div>\r\n\r\n<div class=\"cell code\" collapsed=\"false\">\r\n\r\n``` python\r\n# Import necessary libraries\r\nimport matplotlib.pyplot as plt\r\nfrom neural_net_drawer.drawer import NeuralNetworkDiagram\r\n\r\n```\r\n\r\n</div>\r\n\r\n<div class=\"cell code\" execution_count=\"5\"\r\nExecuteTime=\"{&quot;end_time&quot;:&quot;2024-02-07T08:56:55.425789900Z&quot;,&quot;start_time&quot;:&quot;2024-02-07T08:56:55.153634700Z&quot;}\"\r\ncollapsed=\"false\">\r\n\r\n``` python\r\n# Example usage\r\nfig = plt.figure(figsize=(9, 9))\r\nax = fig.gca()\r\nax.axis('off')\r\n\r\n# Create an instance of the NeuralNetworkDiagram class\r\nnn_diagram = NeuralNetworkDiagram()\r\n\r\n# Call the method to draw the neural network diagram\r\nnn_diagram.draw_neural_net(ax, [7, 5, 4, 3, 4, 2, 1])\r\n\r\nplt.show()\r\n\r\n```\r\n\r\n<div class=\"output display_data\">\r\n\r\n![](https://raw.githubusercontent.com/EvgeniBondarev/Neural-Network-Drawer/master/img/1.png)\r\n\r\n</div>\r\n\r\n</div>\r\n\r\n<div class=\"cell code\" execution_count=\"13\"\r\nExecuteTime=\"{&quot;end_time&quot;:&quot;2024-02-07T09:03:39.420467900Z&quot;,&quot;start_time&quot;:&quot;2024-02-07T09:03:39.268470Z&quot;}\"\r\ncollapsed=\"false\">\r\n\r\n``` python\r\n# Example usage with customizations\r\nfig = plt.figure(figsize=(9, 9))\r\nax = fig.gca()\r\nax.axis('off')\r\n\r\n# Create an instance of the NeuralNetworkDiagram class\r\nnn_diagram = NeuralNetworkDiagram()\r\n\r\n# Set maximum number of layers to display\r\nnn_diagram.max_n_layers_size = 3\r\n\r\n# Set maximum number of neurons per layer to display\r\nnn_diagram.max_layer_size = 10\r\n\r\n# Call the method to draw the neural network diagram\r\nnn_diagram.draw_neural_net(ax, [7, 5, 4, 3, 4, 2, 1])\r\n\r\nplt.show()\r\n```\r\n\r\n<div class=\"output display_data\">\r\n\r\n![](https://raw.githubusercontent.com/EvgeniBondarev/Neural-Network-Drawer/master/img/2.png)\r\n\r\n</div>\r\n\r\n</div>\r\n\r\n<div class=\"cell code\" execution_count=\"12\"\r\nExecuteTime=\"{&quot;end_time&quot;:&quot;2024-02-07T09:01:57.191557900Z&quot;,&quot;start_time&quot;:&quot;2024-02-07T09:01:56.936069200Z&quot;}\"\r\ncollapsed=\"false\">\r\n\r\n``` python\r\n# Example usage with further customizations\r\nfig = plt.figure(figsize=(9, 9))\r\nax = fig.gca()\r\nax.axis('off')\r\n\r\n# Create an instance of the NeuralNetworkDiagram class\r\nnn_diagram = NeuralNetworkDiagram()\r\n\r\n# Set maximum number of layers to display\r\nnn_diagram.max_n_layers_size = 3\r\n\r\n# Hide neuron numbers\r\nnn_diagram.show_neuron_numbers = False\r\n\r\n# Call the method to draw the neural network diagram\r\nnn_diagram.draw_neural_net(ax, [7, 5, 4, 3, 4, 2, 1])\r\n\r\nplt.show()\r\n```\r\n\r\n<div class=\"output display_data\">\r\n\r\n![](https://raw.githubusercontent.com/EvgeniBondarev/Neural-Network-Drawer/master/img/3.png)\r\n\r\n</div>\r\n\r\n</div>\r\n",
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