Before becoming an AI Advocate at IBM, Nick studied computer science at Purdue University and the University of Southern California, and was a high performance computing consultant for Hewlett-Packard in Grenoble, France. He now specializes in machine learning and utilizes it to understand machine learning developers of various communities, startups, and enterprises in order to help them succeed on IBM's data science platform. He has a strong interest in data science education and open source software.
Choosing the right Deep Learning Framework: A Deep Learning Approach
This talk will demonstrate how deep learning can be used to identify a deep learning framework such as TensorFlow or PyTorch that would best help a developer build out deep neural networks based on how they write and the problems they solve.