Tag - Recurrent Neural Network

How to Build a Recurrent Neural Network in TensorFlow

This is a no-nonsense overview of implementing a recurrent neural network (RNN) in TensorFlow. Both theory and practice are covered concisely, and the end result is running TensorFlow RNN code. By Erik Hallström, Deep Learning Research Engineer. In t...

Open Source Toolkits for Speech Recognition

This article reviews the main options for free speech recognition toolkits that use traditional Hidden Markov Models and n-gram language models. By Cindi Thompson, Silicon Valley Data Science. As members of the deep learning R&D team at SVDS, we are...

Recurrent Neural Network

Recurrent Neural Networks by Example in Python Using a Recurrent Neural Network to Write Patent Abstracts The first time I attempted to study recurrent neural networks, I made the mistake of trying to learn the theory behind things like LSTMs and GRU...

Sequence Modeling with Neural Networks – Part I

In the context of this post, we will focus on modeling sequences as a well-known comments By Zied Haj-Yahia, Senior The only difference is that each hidden unit is doing a slightly different function. So, let’s explore how this hidden unit works. A r...

The 10 Deep Learning Methods AI Practitioners Need to Apply

Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every...

Using Genetic Algorithm for Optimizing Recurrent Neural Networks

In this tutorial, we will see how to apply a Genetic Algorithm (GA) for finding an optimal window size and a number of units in Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN). comments By Aaqib Saeed, University of Twente Recently...