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Variational Autoencoders

April 19, 2022/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Main Category, Use Cases/by Sunil Yadav

ariational autoencoders (VAEs) are a deep learning method to produce synthetic data (images, texts) by learning the latent representations of the training data. AGMs are sequential models and generate data based on previous data points by defining tractable conditionals.

How to choose the best pre-trained model for your Convolutional Neural Network?

April 11, 2022/in Uncategorized/by Mickael Komendyak

Transfer Learning refers to the set of methods that allow the transfer of knowledge acquired from solving a given problem to another problem.

Transfer Learning has been very successful with the rise of Deep Learning.

Key Points on AI’s Role In The Future Of Data Protection

April 3, 2022/in Artificial Intelligence, Data Security/by Lydia Iseh

Because AI can do a lot more than just collect and analyze data — it can also protect it. In this article, we’ll explain what the role of Artificial Intelligence is in the future of data protection.

Ein KI Projekt richtig umsetzen : So geht’s

March 30, 2022/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Main Category/by Benjamin Aunkofer

Wir von DATANOMIQ und pixolution teilen unsere Erfahrungen aus Deep Learning Projekten, wo es vor allem um die Optimierung und Automatisierung von Unternehmensprozessen rund um visuelle Daten geht, etwa Bilder oder Videos.

Air Quality Forecasting Python Project

March 20, 2022/in Data Mining, Data Science, Python, Use Cases/by Shivani Padaya

This project forecast the Carbon Dioxide(Co2) emission levels yearly. Most of the organizations have to follow government norms with respect to Co2 emissions and they have to pay charges accordingly, so this project will forecast the Co2 levels so that organizations can follow the norms and pay in advance based on the forecasted values.

Deep Autoregressive Models

March 15, 2022/in Artificial Intelligence, Data Mining, Data Science, Deep Learning, Machine Learning, Main Category/by Sunil Yadav

In this blog article, we will discuss about deep autoregressive generative models (AGM). Autoregressive models were originated from economics and social science literature on time-series data where obser- vations from the previous steps are used to predict the value at the current and at future time steps

How to ensure occupational safety using Deep Learning – Infographic

March 3, 2022/in Artificial Intelligence, Data Science, Deep Learning, Insights, Machine Learning, Main Category, Use Cases/by Benjamin Aunkofer

How to ensure occupational safety through automatic risk detection using Deep Learning – Infographic

Four essential ideas for making reinforcement learning and dynamic programming more effective

March 1, 2022/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Predictive Analytics/by Yasuto Tamura

This is the third article of the series My elaborate study notes on reinforcement learning. 1, Some excuses for writing another article on the same topic In the last article […]

Deep Generative Modelling

February 19, 2022/in Artificial Intelligence, Data Science, Deep Learning/by Sunil Yadav

Nowadays, we see several real-world applications of synthetically generated data, for example solving the data imbalance problem in classification tasks, performing style transfer for artistic images, generating protein structure for scientific analysis, etc. In this blog, we are going to explore synthetic data generation using deep neural networks with the mathematical background.

How Deep Learning drives businesses forward through automation – Infographic

February 16, 2022/in Artificial Intelligence, Deep Learning, Machine Learning, Main Category, Use Cases/by Benjamin Aunkofer

In cooperation between DATANOMIQ, my consulting company for data science, business intelligence and process mining, and Pixolution, a specialist for computer vision with deep learning, we have created an infographic about a very special use case for companies with deep learning: How to protect the corporate identity of any company by ensuring consistent branding with automated font recognition.