google colaboratory, weight download (export saved models)

Question

I created a model using Keras library and saved the model as .json and its weights with .h5 extension. How can I download this onto my local machine?

to save the model I

Answer 1

Here is a solution that worked for me:

Setup authentication b/w Google Colab and Your Drive:

Steps:

-Paste the code as is below

-This process will generate two URLs for authentication to complete, where you would have to copy the tokens and paste in the bar provided

!apt-get install -y -qq software-properties-common python-software-properties module-init-tools
!add-apt-repository -y ppa:alessandro-strada/ppa 2>&1 > /dev/null
!apt-get update -qq 2>&1 > /dev/null
!apt-get -y install -qq google-drive-ocamlfuse fuse
from google.colab import auth
auth.authenticate_user()
from oauth2client.client import GoogleCredentials
creds = GoogleCredentials.get_application_default()
import getpass
!google-drive-ocamlfuse -headless -id={creds.client_id} -secret={creds.client_secret} < /dev/null 2>&1 | grep URL
vcode = getpass.getpass()
!echo {vcode} | google-drive-ocamlfuse -headless -id={creds.client_id} -secret={creds.client_secret}

Once this authentication is done, use the following codes to establish the connection:

!mkdir -p drive
!google-drive-ocamlfuse drive

Now to see the list of files in your Google Drive:

!ls drive

To save the Keras model output to Drive, the process is exactly the same as storing in local drive:

-Run the Keras model as usual

Once the model is trained say you want to store your model outputs (.h5 and json) into the app folder of your Google Drive:

model_json = model.to_json()
with open("drive/app/model.json", "w") as json_file:
    json_file.write(model_json)
# serialize weights to HDF5
model.save_weights("drive/app/model_weights.h5")
print("Saved model to drive")

You will find the files in the respective folder of Google Drive, from where you can download as we can see below: