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Deep Learning with Python
Overview
By the end of this chapter, you will confidently build and tune neural networks using the Sequential deep learning algorithm provided by Keras (TensorFlow). In particular, you will apply deep learning to make meaningful predictions from tabular numerical datasets, in addition to image-based datasets. You will compare the sequential deep learning algorithm to standard machine learning algorithms using regression and classification. You will tune Keras models by modifying Dense layers, Hidden layers, Dropout nodes, and Early Stopping to optimize your neural networks. Finally, you will learn how to classify images by building convolutional neural networks, which are some of the strongest machine learning algorithms ...
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