How DID YOU GET INTO Machine LEARNING?
Even looking at something as small as an ant it is pretty clear we live in a world brimming with intelligence. We take it for granted but that's amazing and studying machine learning was a way to try to understand the underlying principles of this surprising fact.
During my undergraduate I was training neural nets in my off time but after a while I realized it became more interesting than my courses. I decided to pursue this full time and in 2015 I completed my PhD with Yoshua Bengio at the University of Montreal. Some of my interests are improving how models learn without explicit supervision and also understanding the fundamentals of learning.
During my undergraduate I was training neural nets in my off time but after a while I realized it became more interesting than my courses. I decided to pursue this full time and in 2015 I completed my PhD with Yoshua Bengio at the University of Montreal. Some of my interests are improving how models learn without explicit supervision and also understanding the fundamentals of learning.
WhAT WILL YOU Be teaching?
We will cover the inspiring history of deep learning and explain its basic tools, e.g., neural networks as nonlinear function approximators, representing inputs, model architectures (FF, RNN, Conv, Recursive), layers, loss functions, training deep models (backprop, initialisation, minibatches, momentum, batch-norm, sgd, etc). Students can expect to gain an overall view while also learning enough practical knowledge to get started training networks.
What advice would you give to those getting started in machine/deep learning?
If you have an idea, just code it! The beauty of machine learning is that you can try things without asking for permission or money.