machine_learning_lectures

Collection of lectures and lab lectures on machine learning and deep learning.

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Deep Learning

Gradient Descent

LaTeX source: here.
Practice (1) slides.
Practice (2) slides and code (TensorFlow).

Neural Networks and Deep Neural Networks

LaTeX source: here.
Practice slides and code (TensorFlow).

Convolutional Neural Networks

LaTeX source: here.
Practice slides and code (TensorFlow).

Recurrent Neural Networks

LaTeX source: here.
Practice slides and code (TensorFlow).

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Reinforcement Learning

Introduction and Model Free Learning

LaTeX source: here.
Practice slides and code (TensorFlow).

Function Approximation

LaTeX source: here.

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Machine Learning

Boosting

LaTeX source: here.
Practice code: here.

Clustering

LaTeX source: here.
Practice code: here.

Dimensionality Reduction

LaTeX source: here.
Practice code: here.

Logistic Regression

LaTeX source: here.
Practice code: here.

Naive Bayes

LaTeX source: here.
Practice code: here.

Support Vector Machine (SVM)

LaTeX source: here.
Practice code: here.

F.A.Q.

• How did you make the thumbnails?

Please see make_thumbs.py. The script assumes that ImageMagick library is already installed in your system.