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tensorflow
TensorFlow's Visualization Toolkit
I am training a CNN and i use tensorboard for the visualization of the training process and results. As i create lots of image summaries while training the event log...
I am trying to open Tensorboard using AWS sage maker. There is an example code already available in AWS ( Link https://docs.aws.amazon.com/sagemaker/latest/dg/studio-tensorboard.html) To Test I have followed the steps and...
## Environment information (required) Fresh conda env, TB-Version 2.4.1 Diagnose output: Diagnostics output `````` --- check: autoidentify INFO: diagnose_tensorboard.py version e43767ef2b648d0d5d57c00f38ccbd38390e38da --- check: general INFO: sys.version_info: sys.version_info(major=3, minor=7, micro=6, releaselevel='final',...
Selecting "Ignore outliers in chart scaling" automatically applies to all charts. I would be nice to have the capabilities at the individual chart level so that this functionality applies selectively.
I believe it would be handy to have a global slider for visualizing images from different steps. At the moment, when I try to compare different image inputs and outputs,...
This PR moves the UMAP projection method's functionality into a web worker, which allows us to do a number of very nice things. Since the main (render) thread isn't blocked...
Is it possible to allow adding notes on the tensorboard? I have many experiments and I want to directly add comments on the experiments. Adding such function will ease the...
## Issue description In general projection parameter updates are inconsistent especially for t-SNE/UMAP ### 2D/3D mode 2D/3D mode in t-SNE/UMAP simply makes the scatterplot a 2D/3D view. This is inaccurate...
## Environment information (required) ### Diagnostics Diagnostics output `````` --- check: autoidentify INFO: diagnose_tensorboard.py version e43767ef2b648d0d5d57c00f38ccbd38390e38da --- check: general INFO: sys.version_info: sys.version_info(major=3, minor=9, micro=7, releaselevel='final', serial=0) INFO: os.name: nt INFO:...
### Diagnostics Diagnostics output `````` --- check: autoidentify INFO: diagnose_tensorboard.py version 724b56cee52e7d8eb89bbeec1f0d5ce3e38c9682 --- check: general INFO: sys.version_info: sys.version_info(major=3, minor=8, micro=2, releaselevel='final', serial=0) INFO: os.name: posix INFO: os.uname(): posix.uname_result(sysname='Linux', nodename='redacted', release='4.12.14-lp151.28.32-default',...
