Thiru Kumaran

@taehoonlee Ah okay, if i want to train NASNet from scratch, as well via transfer learning on a 7 class dataset, how would you recommend me to do so?

@taehoonlee thanks for your reply! I cant seem to get it to download the imagenets with weight model. the link https://github.com/titu1994/Keras-NASNet/'%20'releases/download/v1.2/NASNet-large.h5 does not work, and even in the code it...

Sure thing @taehoonlee , ``` image_shape = (331,331) train_datagen = ImageDataGenerator( rescale=1./255, shear_range=0.2, zoom_range=0.2, horizontal_flip=True, vertical_flip = True, data_format='channels_last') test_datagen = ImageDataGenerator(rescale=1./255,data_format='channels_last') experiment_folder = base_folder+experiment_name train_generator = train_datagen.flow_from_directory( '{}/train'.format(experiment_folder), target_size=image_shape,...

Hey, thanks for your help! I've been trying various stuff over the past few days, and wonder if theres an issue with the weights of NASnet? It performs horribly (about...

Hi @generall , There are some metadata we want to add to the table, for example which is the main date column to filter by.

How would that work? The collection has one row with the payload being the collection-level-metadata? Rows need a vector, so some dummy vector? Seems very inelegant, and there wouldnt be...

@mishra283 https://github.com/Waffleboy/IVLE-EEEE this was my solution :laughing:

Hey @generall , Yes i saw, but i need to swap the names of 2 tables so I'd rather rename rather than alias it which could lead to confusion

Hey @timvisee, It's just confusing for others in the team, especially for collections which are already similar in name. Eg, `charm_call_reports` and `charmed_call_reports`. Sure we could do an alias to...