From the course: Deep Learning with Python: Hands-On Introduction to Deep Learning Models

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Evaluating a deep learning model: Predictive accuracy

Evaluating a deep learning model: Predictive accuracy - Python Tutorial

From the course: Deep Learning with Python: Hands-On Introduction to Deep Learning Models

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Evaluating a deep learning model: Predictive accuracy

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- [Instructor] In this video, you will learn how to calculate and interpret the predictive accuracy of a deep learning model. I will be running the code in the 05_01e file. You can follow along by completing the empty code cells in the 05_01b file. Note that this is the first in a five video sequence that walks you through the process of evaluating a deep learning model in Python. Before we begin, let's import our previously trained Keras model and pre-process the test data we intend to evaluate the model against. So I'm going to go down here and set my code cell to here and then run everything above. Now scroll up a little bit to make sure that everything has completed before we continue. Okay, so we've now loaded the previously trained model and pre-processed the data. So after training, it's crucial to assess how well a model is expected to perform against new unseen data. And there are several metrics we can use to do this. Predictive accuracy is one of them, and it's a…

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