Hi all!
How can I make use of a loguniform distribution of hyperparameters?
Now I’m defining, for example the learning rate like:
How I could make a log uniform distribution? hp.loguniform does not work. I’m applying this strategy now:
Also, how would I upload images into tensorboard? I can see them all when I’m applying in Jupyter!
%tensorboard --logdir logs/train_data
However, when I’m uploading my images it is not recognizing my files; my files are jpg values, just as it has been done here: ‘Logging arbitrary data’ : نمایش داده های تصویر در TensorBoard | TensorFlow
My function :
I log it in my code with:
Generating my fig by
After running experiments, I upload it by this code:
or
Which is false, since there are files in there:
Each map has:
I’d be happy to hear from you!
Kind regards,
Stijn