nn-intro-course

Materials for my course "Introduction to Neural Networks"

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
datasets		datasets
images		images
.gitignore		.gitignore
01.1 - numpy.ipynb		01.1 - numpy.ipynb
01.2 - pandas.ipynb		01.2 - pandas.ipynb
02.1 - Linear regression.ipynb		02.1 - Linear regression.ipynb
02.2 - Linear regression (exercise).ipynb		02.2 - Linear regression (exercise).ipynb
03.1 - Logistic regression.ipynb		03.1 - Logistic regression.ipynb
03.2 - Logistic regression - Heart.ipynb		03.2 - Logistic regression - Heart.ipynb
04 - Logistic regression - torch (intro).ipynb		04 - Logistic regression - torch (intro).ipynb
05 - Neural network.ipynb		05 - Neural network.ipynb
06 - MNIST cwiczenie.ipynb		06 - MNIST cwiczenie.ipynb
07 - Model.ipynb		07 - Model.ipynb
08 - Dataset, Dataloader, Model, Optimizer - exercise.ipynb		08 - Dataset, Dataloader, Model, Optimizer - exercise.ipynb
09 - Dataset.ipynb		09 - Dataset.ipynb
10 - Python class.ipynb		10 - Python class.ipynb
README.md		README.md

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