What you'll learn

Identify the fundamental concepts and structures of Recurrent Neural Networks

Implement autoregressive linear models and RNNs for time series prediction in TensorFlow

Assess the performance of RNN models in real-world applications, including stock return prediction and image classification

Develop and fine-tune RNN models for complex tasks, such as text classification and long-distance sequence prediction