Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques

© B V Vishwas and Ashish Patel 2020

B. V. Vishwas, A. PATELHands-on Time Series Analysis with Pythonhttps://doi.org/10.1007/978-1-4842-5992-4_5

5. Bleeding-Edge Techniques

B V Vishwas¹  and Ashish Patel²

(1)

Infosys, Bengaluru, India

(2)

Cygnet Infotech Pvt Ltd, Ahmedabad, India

 

This chapter will focus on theory behind some bleeding-edge techniques and will prepare you to solve problems using univarient and multivarient data for time-series models using deep learning (covered in Chapters 6 and 7). In this chapter, we’ll start with an introduction to Neural Networks by reviewing Perceptrons, Activation functions, Backpropagation, types of Gradient Descent, Recurrent Neural networks, Long Short-Term Memory, Gated Recurrent Units, Convolutional Neural ...