![]() All the inputs are connected to a neuron in the hidden layer (red circles). Figure 1 gives a very simple representation of a Neural Network with one hidden layer. But for some implementations, Neural Networks can require a lot of additional computing resources due to the complexity of the many hidden layers within the network. Over the past couple of years, Neural Networks have attracted a lot of attention thanks to their ability to efficiently find patterns in data-traditional transactional data, as well as images, sound, streaming data, etc. This article will explain how Neural Networks work, how to build a Neural Network in Oracle Database, and how to use the model to score or label new data. Very few talk about how to use these new algorithms in your applications to score or label new data. While many articles are available on machine learning, most of them concentrate on how to build a model. Oracle 18c Database brings prominent new machine learning algorithms, including Neural Networks and Random Forests.
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