Basics of machine learning and neural networks, unsupervised learning.
The most simple neural network. Learn how a neuron is working.
What are non-linearities and how hidden neural network layers handle them.
One of the most important issues in machine learning, illustrated in a small 2D classification problem.
Create a first simple neural network to classify handwritten digits.
Let's use the HOG algorithm implemented in OpenCV to detect people in real time in a video stream!
Learn how to use clustering to find categories in unlabeled datasets, with python and scikit-learn