Neural Networks - Data Blogger

Simplify your PyTorch model using PyTorch Lightning

Code for machine learning can get repetitive. In this blog post, you will learn to combat code repetition by using PyTorch Lightning. Some code of machine learning can get highly repetitive. Think for example of the times you had to write a train loop, logging the evaluation results. Also loading

Neural Networks

Hands-on: Creating Neural Networks using Chainer

This tutorial is a practical guide which helps you to create Neural Networks in Chainer. The focus is not on the architecture of the networks (more about Neural Network architectures is found in this post [https://www.data-blogger.com/2017/02/26/artificial-neural-nets-a-gentle-introduction/] ), but it is focused on creating a

Neural Networks

Create a Character-based Seq2Seq model using Python and Tensorflow

In this article, I will share my findings on creating a character-based Sequence-to-Sequence model (Seq2Seq) and I will share some of the results I have found. All of this is just a tiny part of my Master Thesis and it took quite a while for me to learn how to

Neural Networks

Python Deep Learning tutorial: Create a GRU (RNN) in TensorFlow

MLPs (Multi-Layer Perceptrons) [https://www.data-blogger.com/2017/02/26/artificial-neural-nets-a-gentle-introduction/] are great for many classification and regression tasks. However, it is hard for MLPs to do classification and regression on sequences. In this Python deep learning tutorial, a GRU is implemented in TensorFlow. Tensorflow is one of the many

Neural Networks

Implementing Elman RNN in Tensorflow: a Helpful Tutorial

In this Python Deep Learning tutorial, an implementation and explanation is given for an Elman RNN. The implementation is done in Tensorflow, which is one of the many Python Deep Learning libraries. A more modern RNN is the GRU. A GRU has less parameters to train and is therefore quite

Mathematics

Artificial Neural Nets, a gentle introduction

This article explains the basics of some Artificial Neural Network models an overview of the recent history Artificial Neural Networks, from MLPs to GANs. Feel free to join the discussion! Neural Nets? Neural Networks are invented back in the mid 1980s. “Artifical” as in Artificial Neural Networks refers to the