IEEE Photonics Society Los Angeles Chapter
Meeting Date: Tuesday, March 12th of 2019,
Time: 01:15 – 4:30 pm
Speaker: Pitambar Pitambar, Mathworks
Location: Los Angeles
RSVP: requested, through website
Event Details: IEEE vTools
Summary: Deep learning achieves human-like accuracy for many tasks considered algorithmically unsolvable with traditional machine learning. It is frequently used to develop applications such as face recognition, automated driving, and image classification. In this hands-on workshop, you will write code and use MATLAB to:
Learn the fundamentals of deep learning and understand terms like “layers”, “networks”, and “loss”.
Build a deep network that can classify your own handwritten digits.
Access and explore various pre-trained models.
Use transfer learning to build a network that classifies different types of food.
Use LSTM networks for time series forecasting.
Train deep learning networks on GPUs in the cloud.
Learn how to use code generation technology to accelerate inference performance.
Learn how to improve the accuracy of deep networks.
Bio: Pitambar Pitambar works on deep learning and computer vision applications in technical marketing at MathWorks. Prior to joining MathWorks, he worked on creating technological healthcare solutions for developing countries and researching the diagnosis and treatment of ischemic stroke patients. Pitambar holds a B.S. in biomedical engineering from the New Jersey Institute of Technology.