From the course: Building Recommender Systems with Machine Learning and AI

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Intro to recurrent neural networks (RNNs)

Intro to recurrent neural networks (RNNs) - Python Tutorial

From the course: Building Recommender Systems with Machine Learning and AI

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Intro to recurrent neural networks (RNNs)

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- [Instructor] Let's talk about another kind of neural network, the recurrent neural network. What's a RNN for? Well, a couple of things. Basically, they're for sequences of data. That might be a sequence in time, so you might use it for processing time-series data where you're trying to look at a sequence of data points over time and predict the future behavior of something over time in turn. RNN's are fundamentally for sequential data of some sort. Some examples of time-series data might be web logs where you're receiving different hits to your website over time or sensor logs where you're getting different inputs from sensors from the Internet of Things, or maybe you're trying to predict stock behavior by looking at historical stock trading information. These are all potential applications for recurrent neural networks because they can take a look at the behavior over time and try to take that time-series data into account when it makes future projections. Another example might be…

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