© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
A. Pajankar, A. JoshiHands-on Machine Learning with Pythonhttps://doi.org/10.1007/978-1-4842-7921-2_15

15. Recurrent Neural Networks

Ashwin Pajankar1   and Aditya Joshi2
Nashik, Maharashtra, India
Haldwani, Uttarakhand, India
In the previous chapters, we’ve seen that simple data that can be expressed as a vector can be easily provided to the input layers of a feedforward neural network. More complex data like images can either be transformed and flattened to be sent as input in vector form or can be used to learn filters in a convolutional neural network (CNN). CNNs helped capture essential patterns in the data that occur due to certain values present ...

Get Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.