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Chapter 1
Figure 20: Increasing the number of epochs
It is useful to observe how accuracy increases on training and test sets when the
number of epochs increases (see Figure 21). As you can see, these two curves touch
at about 15 epochs and therefore there is no need to train further after that point (the
image is generated by using TensorBoard, a standard TensorFlow tool that will be
discussed in Chapter 2, TensorFlow 1.x and 2.x):
Figure 21: An example of accuracy and loss with RMSProp
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