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Week 1 - General Introduction

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This week you will...

  • get a basic introduction to neural nets in order to get a first intuition in the underlying mechanisms

  • get a first idea about possible projects you might want to work on throughout the course

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Learning Resources

  • Video (12 minutes)

  • from Kaggle

  • on Medium

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Until next week you should...

  • Watch the following videos:

    • (Fireship, 2:30 min)

    • (IBM Technology, 10 min)

(3Blue1Brown, 13 min)
  • (Pankaj Kumar Porwal, 5:40 min)

  • (Galaxy Inferno Codes, 5:40 min)

  • (Aladdin Persson, 21 min)

  • (Aladdin Persson, 11 min)

  • Think about project ideas to present in class next week (post your ideas in the chat during the week)

  • Complete the two assignments given in the following notebooks:

  • file-pdf
    7MB
    251023_General Introduction.pdf
    PDF
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    file-download
    44KB
    Guidlines for Presenting Assignments.pptx
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    Neural Networks Explainedarrow-up-right
    Introductory course on Pythonarrow-up-right
    Tutorial on Colabarrow-up-right
    Machine Learning Explained in 100 Secondsarrow-up-right
    What is a Loss Function? Understanding How AI Models Learnarrow-up-right
    Backpropagation, intuitively | Deep Learning Chapter 3arrow-up-right
    Parameters vs Hyperparametersarrow-up-right
    Validation data: How it works and why you need itarrow-up-right
    TensorFlow Tutorial 3 - Neural Networks with Sequential and Functional APIarrow-up-right
    TensorFlow Tutorial 14 - Callbacks with Keras and Writing Custom Callbacksarrow-up-right
    Assignment Notebook 1arrow-up-right
    Assignment Notebook 2arrow-up-right