September 2017
Beginner to intermediate
270 pages
5h 53m
English
Content preview from Neural Networks with R
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Deep Learning Using Multilayer Neural Networks
Deep learning is the recent hot trend in machine learning/AI. It is all about building advanced neural networks. By making multiple hidden layers work in a neural network model, we can work with complex nonlinear representations of data. We create deep learning using base neural networks. Deep learning has numerous use cases in real life, such as, driverless cars, medical diagnostics, computer vision, speech recognition, Natural Language Processing (NLP), handwriting recognition, language translation, and many other fields.
In this chapter, we will deal with the deep learning process: how to train, test, and deploy a Deep Neural Network (DNN). We will look at the different packages available ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.