In this repo there are a lot of codes on the concept of Machine Learning/ Deep Learning and some related ideas.
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/classmedley/: during my studies, I've collected some examples in order to experiment some ideas, or even play around. Here they can be found. My huge thanks for the developers :) .
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/examples/: more examples, just like the /classmedley/. In this folder there are some skethces I've designed to the lectures of Orivaldo Santana. Huge thanks to him and my coleagues!
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/kmeans/: a cpp class for a kmeans algorithm. It was designed as the last project for the class. I has a lot of work to be done, as the algorithm is not complete.
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/machinelearningcrashcourse/: in this folder there are (some of) the examples from the Machine Learning Crash Course, "Google's practical introduction to machine learning".
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/medleydata/: data that I have no idea where it came from (º.º ~)
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/MIT6.S191/: exercises for the MIT Intro To Deep Learning course. The labs can be found here. Huge thanks to the team involved with the classes!
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/PaulGAllenSchool/: Machine Learning classes hosted by professor Pedro Domingos. You can find it on Youtube and the material can be found here for autumn class and here for spring class.
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/perceptron/: I tried to develop a C class of a perceptron. It's still incomplete :( .
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/tensorflow_classes/: in this folder there are the examples from the serie "ML Zero to Hero", hosted by Laurence Moroney. It is a serie of 4 videos launched in the tensorflow youtube channel, and it aims to explain some concepts of Deep Neural Networks.