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Sequential Modeling with Recurrent Neural Networks

Learn the concepts and applications of RNNs (specifically, Long Short-Term Method networks) and implement these architectures to build sequential models to predict results.

Data Academy Subscription > Deep Learning > Sequential Modeling with Recurrent Neural Networks

Part of Data Academy Subscription

Intermediate

1 hour 31 minutes

Course Description

Learn the concepts and applications of RNNs (specifically, Long Short-Term Method networks) and implement these architectures to build sequential models to predict results. This course is part of the Deep Learning with Keras learning path – complete this path to learn how to apply deep learning algorithms in Python's Keras library.

Requirements

As part of the Deep Learning with Keras path, you will have already learned about model evaluation, convolutional neural networks, image processing, transfer learning, and model modification.

Instructor:

Packt Data

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