This course explores how important Recurrent Neural Networks (RNNs) are for sequence modeling. It particularly focuses on deep learning approaches for sequences, particularly plain RNNs and 1D convolutions Foundations more advanced RNN-based models are laid in this course. This course is part of The Deep learning with TensorFlow learning path– complete this path to build and deploy Deep learning models using TensorFlow.
Prior knowledge and experience in Machine Learning and Python is assumed. Completion of the following courses is a mandate: Building Blocks of Deep Learning, Neural Networks, Image Recognition with Convolutional Neural Networks (CNN), Deep Learning for Text: Embeddings.