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
    • Introduction to Data Science and Machine Learning
    • Machine Learning with TensorFlow
    • Intermediate Machine Learning
    • From LLMs to AI Agents🤖
    • Advanced Time Series Prediction
    • Python: Beginner to Practitioner
    • Fine-Tuning and Deployment of Large Language Models
    • Archive
      • Deep Learning from Scratch
      • Deep Learning for Computer Vision
      • Application of Transformer Models
      • Generative Adversarial Networks
        • Requirements for a Certificate of Achievement or ECTS
        • Preparation
        • Motivation - Things you can do with NLP
        • Week 1 - General Introduction to the course
        • Week 2 - Sentiment Analysis with Logistic Regression
        • Week 3 - Sentiment Analysis with Naïve Bayes
        • Week 4 - Vector Space Models
        • Week 5 - Machine Translation and Document Search
        • Week 6 - Autocorrect
        • Week 7 - Part of Speech Tagging and Hidden Markov Models
        • Week 8 - Autocomplete and Language Models
        • Week 9 - Word embeddings with neural networks
        • Week 10 - Final Projects
      • Lehren und Lernen mit KI
      • Reinforcement Learning
      • Machine Learning Operations (MLOps)
      • Mathematik für maschinelles Lernen
      • TensorFlow Course: Week 10 - Special Issues Considering Your Final Projects
      • Deep Dive into LLMs
      • Intermediate Machine Learning (Legacy SS2023)
      • Practical Engineering with LLMs
      • Python: From Beginner to Practictioner (Legacy WS2023)
      • Machine Learning für die Medizin
      • Time Series Prediction
      • Python: From Beginner to Practitioner (Legacy 2024S)
      • Einführung in Data Science und maschinelles Lernen
      • Python: From Beginner to Practitioner (Legacy 2024W)
  • Events
    • Coding.Waterkant 2023
    • Prototyping Week
  • Course Projects
    • Choosing a Project
    • How to Start, Complete, and Submit Your Project
  • 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
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  1. Courses
  2. Archive
  3. Generative Adversarial Networks

Week 10 - Final Projects

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