opencampus.sh Machine Learning Program
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opencampus.sh Machine Learning Program
Course Kick-Off
How do I choose a course?
FAQ
Courses
Einführung in Data Science und maschinelles Lernen
Mathematik für maschinelles Lernen
Machine Learning with TensorFlow
Intermediate Machine Learning
Machine Learning Operations (MLOps)
Reinforcement Learning
Time Series Prediction
Lehren und Lernen mit KI
Deep Dive into LLMs
Archive
Deep Learning from Scratch
Requirements for a Certificate of Achievement or ECTS
Preparation
Week 1 - General Introduction
Week 2 - Introduction to Deep Learning and Neural Network Basics
Week 3 - Shallow Neural Networks
Week 4 - Deep Neural Networks
Week 5 - Practical Aspects of Deep Learning
Week 6 - Optimization Algorithms
Week 7 - Hyperparameter Tuning
Week 8 - Machine Learning Strategy 1 & 2
Week 9 - Neural Networks Architecture | Project Checkpoint
Week 10 - Bonus: most voted topic
Week 11 - Presentation of Final Projects, Part I
Week 12 - Presentation of Final Projects, Part II
Deep Learning for Computer Vision
Application of Transformer Models
Generative Adversarial Networks
Machine Learning für die Medizin
Events
Coding.Waterkant 2023
Prototyping Week
Projects
Requirements
Possible Projects
Past Projects
Project Template
Additional Resourses
Glossary
Coursera
Selecting the Optimizer
Choosing the Learning Rate
Learning Linear Algebra
Learning Python
Support Vector Machines
ML Statistics
Tools
Git
RStudio
Google Colab
Zoom
Powered By
GitBook
Week 11 - Presentation of Final Projects, Part I
This session is entirely dedicated to the presentation of the final project from the students. Schedule and timing will be decided and published during the course.
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Week 10 - Bonus: most voted topic
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Week 12 - Presentation of Final Projects, Part II
Last modified
1yr ago
