Model Evaluation: a crucial step in solving a machine learning problem

Machine Learning has developed several efficient techniques for a wide range of problems. A single technique or model like Googlenet is used across various problems such as image classification, object detection and others. Some models like MobileNet are designed to work efficiently in computational limited resources like mobile devices. It is a challenge to figure out the technique/ model that will be the best fit for your problem. To solve this, we will show how to evaluate models to determine if its performance meets your expectations/ requirements.

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