Deep Learning and Reinforcement Learning

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Deep Learning and Reinforcement Learning

As part of the masters'courses 'Programming Deep Learning Algorithms' and 'Programming Reinforcement Learning Algorithms', we designed, programmed, and trained various machine learning models in a team of four. Each task (right) was implemented in one- to two-week sprints. The projects required both sound technical implementation and scientific exploration of the methods. The focus was always on practical experimentation with modern architectures.

Description

Deep Learning Projects

Reinforcement Learning Projects

  • MNIST Generative Adversarial Network
  • Embeddings
  • Programming Transformers from Scratch
  • Music Generation with a Transformer
  • Graph Neural Networks
  • MNIST Generative Adversarial Network
  • RL Intro & Dynamic Programming
  • Q-Learning
  • Deep Q-Learning

Details

What we've worked with

  • Python
  • TensorFlow
  • PyTorch
  • Pandas
  • NumPy

My Tasks

  • Model Training
  • Algorithm Development
  • Data Analysis

Occasion

  • HdM
  • Programming Deep Learning Algorithms
  • Programming Reinforcement Algorithms
  • Sommer Term 2025

Timo Walderr - Stuttgart, Germany