Performance issues ...
 
Share:

Performance issues with Keras in Regression analysis  

  RSS

ronyeapen
(@ronyeapen)
New Member
Joined: 1 year ago
Posts: 1
22/07/2019 9:48 pm  

Hello all, 
I am currently trying to transition my ML code, which we learnt in the first Coursera course as part of deeplearning specialisation, for a fully connected 3 deep neural network. This code was using native Tensorflow and I was using this structure to do a regression analysis. 

Since then, I tried transistion this code from native TF to Keras. But I am finding that Keras takes longer and does not converge/reduce loss as quickly as native TF. Does anyone have similar experiences or ideas why this is the case? 


Quote
Mo Rebaie
(@mo-rebaie)
Estimable Member
Joined: 1 year ago
Posts: 108
29/07/2019 8:47 am  

Hello @ronyeapen, I recommend you to use Keras API with Tensorflow backend, and I think that it's easier and more practical to implement your code using tf.keras.

Concerning your issue for taking more time of model convergence with Keras, you can accelerate your training process by changing the run-time into GPU, I'm giving you my suggestion based on my experience!

Good luck!

M.R


ReplyQuote
Share:

We use cookies to collect information about our website and how users interact with it. We’ll use this information solely to improve the site. You are agreeing to consent to our use of cookies if you click ‘OK’. All information we collect using cookies will be subject to and protected by our Privacy Policy, which you can view here.

OK

Please Login or Register