shah0150/Artificial-Neural-Networks-Visualizer
Visualizing Artificial Neural Networks (ANNs) with just One Line of Code
Building artificial neural networks can be complex, and understanding their structure is crucial. This tool helps machine learning engineers and data scientists quickly visualize the architecture of their Keras-defined neural networks. Simply input your Keras model, and it outputs a clear, presentable graph of the network's layers and connections.
No commits in the last 6 months.
Use this if you need a quick and straightforward way to generate a visual representation of your Keras neural network models.
Not ideal if you require highly interactive visualizations, detailed performance metrics, or are working outside of Keras.
Stars
22
Forks
10
Language
Python
License
—
Category
Last pushed
Apr 16, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/shah0150/Artificial-Neural-Networks-Visualizer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
mert-kurttutan/torchview
torchview: visualize pytorch models
raghakot/keras-vis
Neural network visualization toolkit for keras
janosh/diagrams
Diagrams of concepts in physics/chemistry/ML
dvgodoy/deepreplay
Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!