From the course: Building Recommender Systems with Machine Learning and AI
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Intro to recurrent neural networks (RNNs) - Python Tutorial
From the course: Building Recommender Systems with Machine Learning and AI
Intro to recurrent neural networks (RNNs)
- [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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Deep learning introduction1m 30s
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Deep learning prerequisites8m 13s
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History of artificial neural networks10m 51s
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Playing with TensorFlow12m 2s
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Training neural networks5m 47s
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Tuning neural networks3m 52s
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Introduction to TensorFlow11m 29s
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Handwriting recognition with TensorFlow, part 113m 18s
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Handwriting recognition with TensorFlow, part 212m 3s
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Introduction to Keras2m 48s
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Handwriting recognition with Keras9m 52s
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Classifier patterns with Keras3m 58s
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Predict political parties of politicians with Keras9m 55s
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Intro to convolutional neural networks (CNNs)8m 59s
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CNN architectures2m 54s
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Handwriting recognition with CNNs8m 38s
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Intro to recurrent neural networks (RNNs)7m 38s
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Training recurrent neural networks3m 21s
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Sentiment analysis of movie reviews using RNNs and Keras11m 1s
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