• About DIVISIO
  • AI Basics
  • Amazon DJL - a new DL framework for Java
  • BGL symposium 2019 - lecture 'AI and Magic'
  • Categories
  • ChatGPT
  • ChatGPT for Teams: Privacy-Compliant Use in the Workplace
  • Conferences
  • Contact
  • Deep Fakes - How to spot faked Images
  • Deep Java Learning Introduction - Part 1: NDManager & NDArray
  • Depixelizer
  • DIVISIO Blog | Understanding AI, DL and ML together
  • DJL
  • DL4J Workshop at the ML Summit in Berlin
  • Enterprise Tensorflow - Java vs. Python
  • Enterprise TensorFlow 2 - Saving a trained model
  • Enterprise TensorFlow 3 - Loading a SavedModel in Java
  • Enterprise TensorFlow 4 - Executing a TensorFlow Session in Java
  • Enterprise Tensorflow: Code Examples
  • Git as a management tool for training data and experiments in ML
  • GPT-3
  • GPT-4
  • Homepage
  • Imprint
  • Java
  • Jax 2018 - Talks about DL4J and more
  • Jax 2019 Recap
  • KI Basics
  • Konferenzen
  • ML Conference 2017 in Berlin
  • MLOps: Establishment and operation of an AI
  • Neural networks - The five most common mistakes
  • NLP
  • NLP, NLU and NLG: AI and text
  • OpenAI API
  • Privacy Policy
  • Recap: ML Conference 2019 in Munich
  • Sokratext NER - Analyze German texts using Java
  • Sokratext NLG - Generate thousands of German texts with just one click
  • Sokratext POS Tagger - Automated Word Type Recognition with Java
  • Sokratexts
  • Tags
  • TensorFlow
  • TensorFlow and Java - An interview with entwickler.de
  • Types of Artificial Neural Networks
  • Understanding AI - Part 1: What is AI?
  • Understanding AI - Part 2: Symbolic AI, Neural Networks and Deep Learning
  • Understanding AI - Part 3: Methods of symbolic AI
  • Understanding AI - Part 4: The basics of Machine Learning
  • Understanding AI - Part 5: Supervised & Unsupervised Learning in ML
  • What are Neural Networks and how do they work?
  • Whisper 3 Large for JAVA
de en

CONTACT

For inquiries, send us an e-mail to sales@divis.io or use the contact form.

The fields marked with an asterisk(*) are mandatory in order to process your request in the best possible way. By clicking on “Submit” you agree to our privacy policy.