Chapter 16. Feed-Forward Neural Networks
Despite all the hype and excitement about AI, it’s still extremely limited today relative to what human intelligence is.
—Andrew NgFormer director of Google Brain and former chief scientist at Baidu
In the course of this book, you’ve encountered and examined a number of algorithms, some more complex than others, some more suitable than others for classification tasks, some tailor-made for regression problems. What if, however, at the end of the training pipeline, you find out that no algorithms work as the customer demanded? What if the input is not numbers but images, videos, or sound? And what if it is made by time-series but the succession of events is crucial to extract valuable information?
Beyond ...
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