collaboratory | Laboratory for collaborative filtering | Recommender System library

I am working on image data augmentation for the train set data and I have been writing code of augmentation. I have 12 classes in the dataset i.e. Grass, Flower, Fruits, Dust, and Leaves and the total number of images is about 5539. I have split the dataset as 70% of train and 15% for both of Valid and test respectively. Train folder also consists of Grass, Flower, Fruits, Dust, and Leaves subfolders. However, after augmentation, all of the augmented data has been correctly augmented but stored somewhere in the train folder but not in their respective class subfolder

In short, for example in the train folder, I have a sub-folder i.e. Black-grass folder that has 325 image data. Afterward, I want to generate 100 augmented data in the grass folder that is already been exists in the train folder. I do not want to generate a new folder into the train folder. I want that, all augmented data will be stored in their own existed folder with their raw data

My code:

I'm trying to install and import MDAnalysis and MDAnalysisTests libraries on Google Colaboratory, I've tried three ways but nothing works:

1. Using default: !pip install library

I am trying to implement the XLNET on Google Collaboratory. But I get the following issue.

I installed selenium and chromedriver on Windows.

I copied chromedriver in /Windows/System32 under the name full path /Windows/System32/chromium-browser/chromedriver.

Then I wrote :

I am importing data by a .csv file and am plotting it, but when I plot my figure and try to save it to my google drive it only saves a blank image with none of the data. I am using Google Collaboratory.

Here is my code:

I'm trying to set up a GluonCV in a jupyter notebook in a virtual environment. For some reason whenever I try to import GluonCV I get this error:

I'm trying to obtain instance metadata on Google Collaboratory. I'm interested in finding out the compute region.

Specifically, on the hosted runtime on Google Collaboratory, I tried running the following commands but they time out.

I am using collaboratory(online jupyter notebook) I have the following code i am plotting some graphs using this functions and want to save plots locally how can I do this ?

I am new to deep learning and have been trying to convert the Keras sequential API to the functional API running on the CIFAR10 image dataset but have been having some difficulty. I've converted the model which looks the same except for the input layer yet the sequential has an average accuracy of around ~70% and my functional has an average accuracy of around ~10%. I would really appreciate some help with regards to figuring out what is going wrong. Here is my functional code: