How To Improve Deep Learning Performance

Last Updated on August 6, 2019

20 Tips, Tricks and Techniques That You Can Use To
Fight Overfitting and Get Better Generalization

How can you get better performance from your deep learning model?

It is one of the most common questions I get asked.

It might be asked as:

How can I improve accuracy?

…or it may be reversed as:

What can I do if my neural network performs poorly?

I often reply with “I don’t know exactly, but I have lots of ideas.”

Then I proceed to list out all of the ideas I can think of that might give a lift in performance.

Rather than write out that list again, I’ve decided to put all of my ideas into this post.

The ideas won’t just help you with deep learning, but really any machine learning algorithm.

Kick-start your project with my new book Better Deep Learning, including step-by-step tutorials and the Python source code files for all examples.

It’s a big post, you might want to bookmark it.