Part 2: A Deep Dive into Deep Learning Modeling - Session 1: Designing Experiments

Overview

In this session, we will take a deeper dive into designing, training, and tuning deep learning models. We will show how MATLAB’s deep learning apps can help you edit neural networks, and devise and run experiments. We will give a brief teaser on how to customize deep learning training to handle more advanced types of neural networks.

Highlights

• Using the Deep Network Designer app to graphically create, edit, and train models
• Tracking and running modeling runs with the Experiment Manager app for rapid, automated iteration
• Introducing the extended deep learning framework to customize and train advanced neural networks

About the Presenter

Rishu Gupta is a senior application engineer at MathWorks India. He primarily focuses on image processing, computer vision, and deep learning applications. Rishu has over nine years of experience working on applications related to visual contents. He previously worked as a scientist at LG Soft India in the Research and Development unit. He has published and reviewed papers in multiple peer-reviewed conferences and journals. Rishu holds a bachelor’s degree in electronics and communication engineering from BIET Jhansi, a master’s in visual contents from Dongseo University, South Korea, working on the application of computer vision, and a Ph.D. in electrical engineering from University Technology Petronas, Malaysia with focus on biomedical image processing for ultrasound images.