Skip to Content
Machine Learning Solutions
book

Machine Learning Solutions

by Jalaj Thanaki
April 2018
Beginner to intermediate content levelBeginner to intermediate
566 pages
12h 17m
English
Packt Publishing
Content preview from Machine Learning Solutions

Problems with the existing approach

In this section, we will list all the points that create problems. We should try to improve them. The following are things that I feel we can improve upon:

  • If you find out that class sampling is not proper in your case, then you can adopt the sampling methods
  • We can add more layers to our neural network

We can try different gradient descent techniques.

In this approach, training takes a lot of time that means training is computationally expensive. When we trained the model, we used GPUs even though GPU training takes a long time. We can use multiple GPUs, but that is expensive, and a cloud instance with multiple GPUs is not affordable. So, if we can use transfer learning in this application, or use the pre-trained ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning

Machine Learning

Subramanian Chandramouli, Saikat Dutt, Amit Kumar Das
Machine Learning for Business

Machine Learning for Business

Doug Hudgeon, Richard Nichol
Introducing Machine Learning

Introducing Machine Learning

Dino Esposito, Francesco Esposito

Publisher Resources

ISBN: 9781788390040Supplemental Content