opencampus.sh Machine Learning Program
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opencampus.sh Machine Learning Program
  • opencampus.sh Machine Learning Program
  • Course Kick-Off
  • How do I choose a course?
  • FAQ
  • Courses
    • Introduction to Data Science and Machine Learning
    • Applied Machine Learning
    • Intermediate Machine Learning
    • From LLMs to AI Agents🤖
    • Advanced Time Series Prediction
    • Applied Python Programming
    • Archive
      • Fine-Tuning and Deployment of Large Language Models
      • Deep Learning from Scratch
      • Deep Learning for Computer Vision
      • Application of Transformer Models
      • Generative Adversarial Networks
      • 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)
      • Python: Beginner to Practitioner (Legacy 2025S)
      • Machine Learning with TensorFlow
        • Requirements for a Certificate of Achievement or ECTS
        • Preparation
        • Week 1 - General Introduction
        • Week 2 - Introduction to TensorFlow,Part I
        • Week 3 - Introduction to TensorFlow,Part II
        • Week 4 - Convolutional Neural Networks, Part I
        • Week 5 - Convolutional Neural Networks, Part II
        • Week 6 - Project Feedback Session
        • Week 7 - Natural Language Processing, Part I
        • Week 8 - Natural Language Processing, Part II
        • Week9 - Project Feedback Session
        • Week 10 - Sequences, Time Series and Prediction
        • Week 11 & 12 - Presentation of the Final Projects
  • 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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Machine Learning with TensorFlow

Requirements for a Certificate of Achievement or ECTSchevron-rightPreparationchevron-rightWeek 1 - General Introductionchevron-rightWeek 2 - Introduction to TensorFlow,Part Ichevron-rightWeek 3 - Introduction to TensorFlow,Part IIchevron-rightWeek 4 - Convolutional Neural Networks, Part Ichevron-rightWeek 5 - Convolutional Neural Networks, Part IIchevron-rightWeek 6 - Project Feedback Sessionchevron-rightWeek 7 - Natural Language Processing, Part Ichevron-rightWeek 8 - Natural Language Processing, Part IIchevron-rightWeek9 - Project Feedback Sessionchevron-rightWeek 10 - Sequences, Time Series and Predictionchevron-rightWeek 11 & 12 - Presentation of the Final Projectschevron-right
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