In this chapter, we built our first neural network, which was feedforward only, and used it for classification with the Iris dataset and later the NotMNIST dataset. You learned how various activation functions like affect the validation accuracy of the prediction.
In the next chapter, we will explore a convoluted neural network, which is more advanced and effective for an image dataset.
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