Visualkeras

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Visualkeras is a Python package for visualizing Keras and TensorFlow neural network architectures. It supports various rendering styles, including layered CNN diagrams and node-based visualizations, with easy styling options.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is visualkeras?

Visualkeras is a Python package designed to help visualize Keras and TensorFlow neural network architectures. It offers several rendering styles, such as classic layered CNN diagrams, general node-based visualizations, and LeNet-style feature map stack diagrams. The tool is highly customizable, allowing users to tailor visualizations to their specific needs. It supports both standalone Keras and TensorFlow-included Keras workflows, making it a versatile option for data scientists and machine learning engineers. Visualkeras simplifies the process of understanding complex model structures through clear and intuitive graphical representations.

Best used for

Ideal for data scientists and machine learning engineers who need to visualize complex Keras and TensorFlow neural network architectures, understand model flow, and present their deep learning models effectively. Especially valuable for educational purposes or debugging model structures.

Common actions

visualize neural networks

understand model architecture

present deep learning models

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Capabilities

Key features

Visualize Keras models
Visualize TensorFlow models
Layered view rendering
Graph view rendering
Functional view rendering
LeNet view rendering
Customizable styling

Target Audience

data scientistprofessor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of neural network architectures can Visualkeras visualize?

Visualkeras can visualize various Keras and TensorFlow neural network architectures, including layered CNNs, general node-based graphs, functional models with multiple modalities, and classic LeNet-style feature map stacks. It offers flexibility for different model complexities.

How can I install Visualkeras?

You can install Visualkeras using pip. For the latest stable release, use 'pip install visualkeras'. If you prefer the latest master branch, which might be unstable, use 'pip install git+https://github.com/paulgavrikov/visualkeras'.

Does Visualkeras support both standalone Keras and TensorFlow's Keras implementation?

Yes, Visualkeras is designed to support both standalone Keras and Keras included within TensorFlow. While standalone Keras support may vary by backend setup, it is fully supported when used with a TensorFlow backend, ensuring broad compatibility.

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