Machine learning and deep learning have been rapidly adopted in various spheres of medicine such as discovery of drug, disease diagnosis, Genomics, medical imaging and bioinformatics for translating biomedical data into improved human healthcare. Machine learning/deep learning based healthcare applications assist physicians to make faster, cheaper and more accurate diagnosis.
Our discussion on healthcare application will include precise problem statement, the major steps involved in the solution (deep learning based face detection, deep learning based facial landmarking), data set, experimental analysis and challenges faced & overcome to achieve this success.
Data Scientists, ML/DL Practitioners, Python Programmers, Doctors, Researchers, Students & Faculty Members from sectors such as Medical, Engineering and Technology.
Having multiple modalities in a system gives more affordance to users and can contribute to a more robust system. Having more also allows for greater accessibility for users who work more effectively with certain modalities. Multiple modalities can be used as backup when certain forms of communication are not possible.
Hands-on Challenge for Attendees
Real-time multi-modal access control system for authorized access to work environment – All the key concepts and individual steps will be demonstrated and explained in this workshop, and the attendees need to customize the generic code or approach for this assignment.
Anyone who has interest to build AI systems across the planet.
Attendees will learn how to develop advanced image segmentation with FCN/DeepLab algorithms which can help visualize driving scenarios accurately, so as to allow the autonomous driving system to take appropriate action considering the obstacle views.
The workshop will include:
AI and ML practitioners, Data Scientists, AI Researchers, IT Managers and Developers.
This session is suitable for folks who have some knowledge of Machine Learning and Deep Learning. Prior knowledge of ANNs and CNNs is preferred.
Tutorial: Addressing Deep Learning Challenges
Deep learning is getting lots of attention lately and for good reason. It’s achieving results that were not possible before. Though, getting started might not always be easy. MATLAB being an integrated framework allows you to accelerate building consumer and industrial applications while utilizing the capabilities of open-source frameworks like TensorFlow to train the deep learning networks.
Join us for a hands-on MATLAB workshop, in which you will explore and learn about deep learning workflow in MATLAB while working on key concepts and challenges such as
Data Scientists, Data Engineers, Data Specialists, Machine Learning Engineers, Data Science Enthusiasts