Advances in innovation to capture and process a lot of data have left us suffocating in information. This makes it hard to extricate insights from data at the rate we get it. This is the place where machine learning offers some benefit to a digital business. We need strategies to improve machine learning performance all the more effectively. Since, supposing that we put forth efforts in the wrong direction, we can't get a lot of progress and burn through a lot of time.

You have worked for weeks on building your machine learning system and the performance is not something you are satisfied with. You think of multiple ways to improve your algorithm's performance, viz, collect more data, add more hidden units, add more layers, change the network architecture, change the basic algorithm etc. But which one of these will give the best improvement on your system? You can either try them all, invest a lot of time and find out what works for you. You can use the following tips from Ng's experience.