Deep Learning Track SoSe 25
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Deep Learning Track SoSe 25
  • Welcome to the Deep Learning Track
  • Setup Python Environment
  • Setup GitHub Repository
  • Learning Material
  • Section 1 - The Math
    • Derivatives and Gradients
    • Vectors, Matrices and Tensors
    • The power of matrix computation
    • Exercise - Matrix Computation
  • Section 2 - The Data
  • Section 3 - Neural Networks
  • Section 4 - Convolutional Neural Networks
  • Appendix - NLP with Huggingface
  • Final Project - Image Classification
  • Final Project - Text Classification
  • Further Resources
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Section 1 - The Math

Derivatives and Gradientschevron-rightVectors, Matrices and Tensorschevron-rightThe power of matrix computationchevron-rightExercise - Matrix Computationchevron-right
PreviousLearning Materialchevron-leftNextDerivatives and Gradientschevron-right