Machine Learning Boot Camp

Learning about how to do machine learning research can be daunting, so to help provide some guidance, I have put together a series of hands-on lessons for learning about machine learning. These include an introduction to deep learning theory and some terminology, using a deep neural network to recognize hand-written digits, and an introduction to convolutional neural networks. All of the lessons make use of TensorFlow, a popular package for doing machine learning research. The lessons are in the form of Jupyter Notebooks and feature code and explanations side-by-side. Feel free to check out the GitHub repo, and file an issue if you have any questions!