Lab internal ML teaching tutorials & Markdown slides for Google Colab to get hands-on experience using PyTorch.
Based on Goodfellow et al. (2015) "Deep Learning"
- Basic knowledge of Python - see this course
- Basics of Linear Algebra, and Probabilities / Statistics
- see also Numpy for Matlab users
Presenter: Gunnar
Presenter: Matt
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Learning algorithms
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Capacity, overfitting, underfitting
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Hyperparameters & validation sets
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Estimators, bias, variance
Presenter: Ben
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Linear regression
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Cost functions
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Maximum likelihood estimation
Presenter: Ben
Presenter: Matt
Presenter: Gunnar
Presenter: Ben
Presenter: Ben
Presenter: Ben