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Progress and Features
Vikas Gola edited this page Feb 19, 2020
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- training of models
- testing of models
- saving and loading of saved models
- option for installation of external packages which user want to install to use them in code.
- dataset viewer
- model output viewer
- basic code editor
- intellisense in code editor (partially completed)
- node editor with basic layers
- option to create custom node in node editor (you can write your own code for that node)
- prebuilt famous models like VGG etc. in node editor
- some open source datasets as nodes in node editor which can be used directly
- option to merge nodes and create new ones
- option to specify the number of consecutive repetition of any particular node in model
- prebuilt nodes which can convert images, videos, audios and text to tfrecord to use directly them in models (conversion of images is completed)
- integration of tensorboard to view training or testing progress
- projects viewer
- replace konvajs library (which handles visualization of nodes in node editor)
-- TODO --