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.
