Welcome to part 5 of the Deep learning with Python, TensorFlow and Keras tutorial series. In the previous tutorial, we introduced TensorBoard, which is an application that we can use to visualize our model’s training stats over time. In this tutorial, we’re going to continue on that to exemplify how you might build a workflow to optimize your model’s architecture.
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