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Machine Learning

Capsule Networks - Better CNNs?

January 2020 Charlotte Burmeister
Convolutional Neural Nets are state of the art in image classification, but what are Capsule Networks and why do they might perform better than CNNs?
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Data Intelligence

Automated Meter Reading (AMR) using Computer Vision - Part 2: How We Gained Adaptabilit...

December 2019 Matthias Hofmaier & Johannes Mayer
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Data Intelligence

Exploring Automated Meter Reading (AMR) using Computer Vision - Part 1

January 2019 Marco Radic & Christoph Heger
Introduction Nowadays automation is used heavily to optimize processes and facilitate labour-intensive tasks. One task that is not necessarily labour-intensive, but a task that has to be completed with humans in the loop is meter...
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Machine Learning

Reinforcement learning - Part 3: Creating your own gym environment

December 2018 Philip Ossenkopp
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Machine Learning

Reinforcement learning – Part 2: Getting started with Deep Q-Networks

December 2018 Philip Ossenkopp
In the last part of this reinforcement learning series, we had an agent learn Gym’s taxi-environment with the Q-learning algorithm. We achieved decent scores after training our agent for long enough. But this approach reaches its limits pretty quickly....
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Machine Learning

Reinforcement learning – Part 1: Introduction to Q-learning

November 2018 Philip Ossenkopp
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Development & Programming

GANs – Applied on Novatec employees

November 2018 Kevin Widholm & Gisela Vallejo
How does the average employee of Novatec look like? In this post we want to investigate deeper generative models in order to solve this question. Generative Adversarial Nets (GANs) can be understood as an adversarial...
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Data Science

Recurrent Neural Networks for time series forecasting

October 2018 Marcel Weller
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August 2018 Marco Radic & Mario Mann

Deep Learning for End-to-End Captcha Solving

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June 2018 Kevin Widholm

Landmark Recognition Challenge - Development and Experiences

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May 2018 Marcel Weller

Automate Machine Learning process with Neo4j stored procedures

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April 2018 Kevin Widholm

Machine Learning Pipeline for Real-Time Sentiment Analysis

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April 2018 Hauke Brammer

Image classification with CNNs and small augmented datasets

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March 2018 Michael Ruhl

How we created our Face-Recognition model

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