TensorSpace is a neural network 3D visualization framework. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browsers. TensorSpace supports to visualize pre-trained model from TensorFlow, Keras and TensorFlow.js.
Hey everyone! 👋
So excited to officially launch TensorSpace.js on Product Hunt!
TensorSpace.js is a neural network 3D visualization framework designed for not only showing the basic model structure, but also presenting the processes of internal feature abstractions, intermediate data manipulations and final inference generations.
By applying TensorSpace API, it is more intuitive to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, etc. TensorSpace introduces a way for front end developers to be involved in the deep learning ecosystem. As an open source library, TensorSpace team welcomes any further development on visualization applications.
TensorSpace.js comes with many interesting features, in general:
* Interactive -- Use Keras-like API to build interactive model in browsers.
* Intuitive -- Visualize the information from intermediate inferences.
* Integrative -- Support pre-trained models from TensorFlow, Keras, TensorFlow.js.
For more information, checkout:
* Github Repo: https://github.com/tensorspace-t...
* Official Website: https://tensorspace.org
* Online Demos: https://tensorspace.org/html/pla...
Feel free to ask me any questions or concerns. Would love to hear feedbacks and ideas from you :)
Thank you!
Gio.js
Gio.js