Comments (2)
@Marviel Thanks for your suggestions!
As you said, tfjs model can provide some information for TensorSpace layers, and it is possible to get these information automatically, and I am designing the auto-loader
to automatically create TensorSpace model with given pre-trained model.
Theoretically, it is possible to get all information from tfjs layer model or graph model. As TensorSpace mainly used to visualize a pre-trained model, some layers will not take effect in model prediction process, such as, batchnorm, dropout, and so on, and these layers will not be visualized in TensorSpace. From my perspective, auto-loader
needs to infer a sub-set of pre-trained model's topo structure, it is a little bit complex, and may take time to design and implement it.
I am actively developing this feature, it will come in future version of TensorSpace~
from tensorspace.
Oh, this may just be solved by #213, when it closes :)
from tensorspace.
Related Issues (20)
- TensorSpace-Converter documentation in Website
- Using own images on YOLO model HOT 3
- Make sure trackballcontrol work when container moves
- Demo - add TensorSpace to tfjs-vis HOT 1
- Automatically inject layer metrics if there is a pre-trained model
- Update preprocess docs with new preprocess pipeline
- ImportError: cannot import name 'convert_to_constants' HOT 3
- Expose Three Scene
- Angular Support !
- How will I insert our own picture? HOT 2
- Layers data
- Render Initial Model Viz Horizontally
- This is probably not a problem with npm. There is likely additional logging output above. HOT 1
- Use with model trained in TFJS? HOT 2
- How to construct topology of the TensorSpace model if I have many self-defined layers in my keras model? HOT 2
- "neural-network" GitHub Topic on the repository is spelled incorrectly
- Uncaught (in promise) TypeError: Cannot read properties of undefined (reading 'setShape')
- May I ask if this project is still being maintained?
- 无法抓取模型
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from tensorspace.