**Recurrent Neural Networks (RNN): Deep Learning for Sequential Data** - Jul 20, 2020.

Recurrent Neural Networks can be used for a number of ways such as detecting the next word/letter, forecasting financial asset prices in a temporal space, action modeling in sports, music composition, image generation, and more.

Tags: Deep Learning, Python, Recurrent Neural Networks, Sequences, TensorFlow

**Sequence Modeling with Neural Networks – Part I** - Oct 3, 2018.

In the context of this post, we will focus on modeling sequences as a well-known data structure and will study its specific learning framework.

Tags: Neural Networks, NLP, Recurrent Neural Networks, Sequences

**New sequence learning data set** - Sep 17, 2016.

A new data set for the study of sequence learning algorithms is available as of today. The data set consists of pen stroke sequences that represent handwritten digits, and was created based on the MNIST handwritten digit data set.

Tags: GitHub, Image Recognition, Machine Learning, MNIST, Sequences