Deep Learning - Recurrent Neural Networks with TensorFlow - Outline

This course focuses on teaching TensorFlow 2 through a practice-oriented approach, emphasizing the use of APIs over mathematical theory. While math is included to aid intuition, it is optional. The course requires basic knowledge of Python and TensorFlow, with a focus on sequence data, RNNs, and their applications in forecasting and natural language processing.

What is the primary focus of this course?

What are the three major subjects in math that are relevant for this course?

How should students approach the math content in this course?

What prerequisites should students meet to succeed in this course?

What is the significance of understanding time series forecasting in this course?

What applications of RNNs will be explored in this course?

What common mistakes should students be aware of when learning about stock prediction?