About this document
RNNs for Sequence Data in Deep Learning by NARAYANAN MADESHAN is a document available to read on EtoBox.
This document provides an overview of Deep Learning, focusing on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). It explains the principles, workings, and applications of CNNs in computer vision and RNNs in natural language processing. Key concepts such as convolution, pooling, and the use of multiple filters in CNNs are discussed, along with the historical context and advancements in these technologies.
- Author
- NARAYANAN MADESHAN
- Language
- EN