Trainees will replace by-hand networks with methods, learning to build more complex model architecture using the TensorFlow library.
About the Speaker
Tanwi Mallick is an Assistant Computer Science Specialist in the Mathematics and Computer Science Division (MCS) at Argonne National Laboratory. Her research interests include traffic modeling, spatiotemporal forecasting utilizing graph neural networks, natural language processing, scalable data-efficient deep learning and large-scale machine learning on high-performance computing platforms. She previously held a postdoctoral position in the Division of Mathematics and Computer Science. She earned her PhD in computer science from the Indian Institute of Technology Kharagpur. Prior to Argonne, she was a senior data scientist at General Electric.