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After setting up the package and running the following command python run_autoencoder.py --n_components 1024 --batch_size 64 --num_epochs 20 --verbose 1 --learning_rate 0.05 --corr_type masking --corr_frac 0.5 --enc_act_func sigmoid --dec_act_func sigmoid --loss_func cross_entropy --opt momentum --momentum 0.9 --main_dir dae-models --model_name dae1024
The folder .yadlt was created with folders 'data', 'logs' and 'models'
The 'models' folder has 'checkpoint ' , 'dae.data-00000-of-00001' , 'dae.index' and 'dae.meta' files in it.
Did the code run properly?
If yes where is the trained model?
How to use the trained model to denoise images?
Thank You
The text was updated successfully, but these errors were encountered:
After setting up the package and running the following command
python run_autoencoder.py --n_components 1024 --batch_size 64 --num_epochs 20 --verbose 1 --learning_rate 0.05 --corr_type masking --corr_frac 0.5 --enc_act_func sigmoid --dec_act_func sigmoid --loss_func cross_entropy --opt momentum --momentum 0.9 --main_dir dae-models --model_name dae1024
The folder .yadlt was created with folders 'data', 'logs' and 'models'
The 'models' folder has 'checkpoint ' , 'dae.data-00000-of-00001' , 'dae.index' and 'dae.meta' files in it.
Did the code run properly?
If yes where is the trained model?
How to use the trained model to denoise images?
Thank You
The text was updated successfully, but these errors were encountered: