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• Try a smaller neural network.

• Try adding regularization (such as L2 regularization).

• Change the neural network architecture (activation function, number of hidden units, etc.)

• …

If you choose well among these possible directions, you’ll build the leading cat picture
platform, and lead your company to success. If you choose poorly, you might waste months.
How do you proceed?

This book will tell you how. Most machine learning problems leave clues that tell you what’s
useful to try, and what’s not useful to try. Learning to read those clues will save you months
or years of development time.

Page 7 Machine Learning Yearning-Draft Andrew Ng