The content includes topics such as: Theory of deep learning models; Standard neural networks (Feed-forward network, RNN,CNN); Modern neural networks (LSTM, GAN, Attention, Transformer); Application of neural networks with current frameworks on big data
1
Work within our development teams to develop, test, and deploy Deep Learning Computer Vision applications for tolling and traffic solutions, on-premises or cloud environments. * Prioritize, estimate, plan, and coordinate DevOps activities across multiple projects
2
Job ID - 510059 - Posted since … Join us in Munich or Erlangen as a Mandatory Intern in Data Science and Deep Learning for Energy Systems (f/m/d) and turn your passion for forecasting, modeling, and experimentation into real-world impact
3
The OSCE is looking for professionals with demonstrated and in-depth expertise in AI/ML/DL and the ability to translate complex technical issues into practical, accessible and operationally relevant training content for different categories of stakeholders
4
Masterstudiengang im Bereich Data Science, Informatik, Computerwissenschaften, Mathematik oder vergleichbar - Gültige Immatrikulation für den gesamten Zeitraum des Praktikums … Starke Fähigkeit, Forschungsarbeiten im Bereich Deep Learning zu verstehen, zu analysieren und zu präsentieren
5
Vacature ID - 510059 … Join us in Munich or Erlangen as a Mandatory Intern in Data Science and Deep Learning for Energy Systems (f/m/d) and turn your passion for forecasting, modeling, and experimentation into real-world impact
6
Job ID - 510059 - Veröffentlicht seit … Join us in Munich or Erlangen as a Mandatory Intern in Data Science and Deep Learning for Energy Systems (f/m/d) and turn your passion for forecasting, modeling, and experimentation into real-world impact
7
This immersive, hands-on course offers a deep dive into advanced neural networks, state-of-the-art deep learning techniques, MLOps, and AI strategy … The course also equips participants to design and implement high-impact AI business cases tailored to Oil & Gas
8
Laufendes Masterstudium oder abgeschlossenes, technisches _ Studium (z.B. der Informatik, Softwareentwicklung, etc.) _ Gute Kenntnisse in NLP, Deep Learning sowie LLMs _ Erfahrung in der Durchführung von AI/ NLP-Projekten - Erste Berufserfahrung von Vorteil
9
Work within our development teams to develop, test, and deploy Deep Learning Computer Vision applications for tolling and traffic solutions, on-premises or cloud environments. Prioritize, estimate, plan, and coordinate DevOps activities across multiple projects
10