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machine_learning_lectures

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

Deep Learning

Gradient Descent

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

Neural Networks and Deep Neural Networks

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

Convolutional Neural Networks

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

Recurrent Neural Networks

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

Reinforcement Learning

Introduction and Model Free Learning

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

Function Approximation

thumb_fun_approx
LaTeX source: here.

Machine Learning

Boosting

thumb_boosting
LaTeX source: here.
Practice code: here.

Clustering

thumb_clustering
LaTeX source: here.
Practice code: here.

Dimensionality Reduction

thumb_dim_reduction
LaTeX source: here.
Practice code: here.

Logistic Regression

thumb_logistic_regression
LaTeX source: here.
Practice code: here.

Naive Bayes

thumb_bayes
LaTeX source: here.
Practice code: here.

Support Vector Machine (SVM)

thumb_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.