This is an article about C++ programmer’s entry to machine learning by implementing a feed forward neural network. I started to write this publication as a blog post, but along the journey I found more aspects I had to cover. This is not an attempt to be any kind of research paper and purposefully breaks many golden rules of making science. Along with the blog writing best practices the conclusions here are rather subjective opinions, or at least should be taken as so.
The previous blog post of the Deep Learning in Process Optimization series concerned building a deep recurrent neural network. This blog post is about the final stage: finding the optimal process values.
The previous blog post of the Deep Learning in Process Optimization series concerned data collection, exploratory data analysis and data preprocessing stages. This blog post is about the next stage: building a deep neural network.
If a plant produces too high emissions, the environment suffers from that and it will cause significant direct and indirect financial losses for the company. The emissions are usually caused by unbalanced process and therefore high emission is usually also a sign of bad efficiency.
Teknologiatutkimusyhtiö Gartner (Gartner 8.2. 2017) ennustaa, että muutaman vuoden kuluessa yritykset alkavat merkitä talletettua tietoa taseisiinsa. Data on valuuttaa, joka näkyy osakkeen arvossa ja yritysten hinnoittelussa, mutta miten?
Hello world - I’m Juanjo Diaz and I’ve worked at Intopalo as a Software Architect since September 2015. In this post, I’ll share my experience as a member of Intopalo’s talented community.