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Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2QcNaOA.
Jessica Yung talks about the foundational concepts about neural networks. She highlights key things to pay attention to: learning rates, how to initialize a network, how the networks are constructed and trained, and understanding why these parameters are so important. She ends the talk with practical takeaways used by state-of-the-art models to help us start building neural networks. Filmed at qconlondon.com.
Jessica Yung is a research masters student in ML at University College London. She was previously at the University of Cambridge and was an NVIDIA Self-Driving Car Engineer Scholar. She applied machine learning to finance at Jump Trading and consults on machine learning. She is keen on sharing knowledge and writes about ML and how to learn effectively on her blog at JessicaYung.com.