Ashutosh Mishra
Ashutosh Mishra
The network for summarization is not optimised. Therefore the loss is too high and does not reduce much.
The readme.md where it says csv_to_numpy.py which should be cvs_to_numpy.py. :100:
I am trying to load emnist full set, but everytime after loading the notebook starts on its own and response becomes random thereafter.  Here even though I am not...
I noticed there are some changes in the current version and the commands used in preprocessing the data.
I changed the max epochs in `coco.yml` but max iteractions goes upto 600. Next is i changed the batch_size to fully use my GPU, next is what is optimal number...
from where to run the notebook ?
`n_images_train: 82783 tl : Build Image Embeddings = InceptionV3 + Dense Layer / uses SlimNetsLayer and DenseLayer instead tensorlayer:Instantiate InputLayer input_image_layer: (64, 299, 299, 3) tensorlayer:Instantiate SlimNetsLayer InceptionV3: inception_v3 tensorlayer:Instantiate...
Can you please add a task list or some contribution guidelines to the project. This is interesting and I want to work on it.