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Regression - TensorFlow Beginner 04
In this part we implement a full project with a Regression problem. We learn how to download, analyze, and preprocess data with pandas. We then build a simple Linear Model using the keras.Dense layer and predict new values. Then extend this model to a deep neural network and learn about the importance of activation functions.
All code and slides from this course can be found on GitHub.
Code is based on:
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