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SS23_DS4DH2
Session 8: Deep Learning
Intro2ML (from DS4DH1)
Intro2ML (from DS4DH1)
Completion requirements
Click
07-Classification.pdf
link to view the file.
◄ Note: Evaluation & Significance Testing (HTML-Version)
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Zoom: Screenshare
Notebook: Python-Basics (HTML-Version)
Notebook: Python-Basics 2 (HTML-Version)
Notebook: Numpy (HTML-Version)
Notebook: Acquisition and Preprocessing (HTML-Version)
Notebook: Descriptive Statistics (HTML-Version)
Notebook: Deep-dive into Seaborn (HTML-Version)
Notebook: Classification (.ipynb)
Slides: Text Classification and Clustering
Notebook: Text processing (.ipynb)
Slides: Lexical semantics
Slides: Text representations
Slides: Information Extraction
Jupyter Notebooks from DS4DH1 (HTML)
L1: Course introduction
Notebook: Numpy & Pandas (HTML-Version)
Notebook: Seaborn (HTML-Version)
Notebook: Corpus Linguistics (HTML-Version)
TM: Slides
TM: Notebook (ipynb)
TM: Notebook (HTML)
Notebook: Graphs & Network analysis (HTML-Version)
Note: Evaluation & Significance Testing (HTML-Version)
Intro2DL: Autoencoders, CNNs, RNNs
Notebook: Deep Learning (HTML)
Notebook: Deep Learning (ipynb)
Notebook: Explainability & Fairness (HTML)
Notebook: Interpretability & Fairness (ipynb)
Project data
Final Project: Description
Project report: LaTex Template
Project report: Word template
Project report: Overleaf LaTex template
Intro2DL: Autoencoders, CNNs, RNNs ►
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