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Feed-Forward (Neural) Networks - What is the difference between feedforward and deep neural networks?
Answer
Simple pattern recognition and classification are examples of the kinds of problems that feedforward neural networks excel at, but they struggle when faced with more complex problems. The opposite is true for deep learning algorithms; they can handle and analyze massive amounts of data thanks to their secret abstraction layers.
