machine_learning_lectures
Collection of lectures and lab lectures on machine learning and deep learning.
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).
Reinforcement Learning
Introduction and Model Free Learning
LaTeX source: here.
Practice slides and code (TensorFlow).
Function Approximation
LaTeX source: here.
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.