Disruptive technologies: AI in the Health Industry

Prince Canuma (~Blaizzy)


Description:

Artificial Intelligence (AI) is here to stay and it is all around us. We use it every day and sometimes without knowing. There is a lot of life-saving and improving solutions that can be developed with this technology. The impact of using this technology to develop humanitarian areas can have a multiplier effect in developing countries. By leveraging the power of AI(a sub-field of AI and Machine learning called Deep Learning), businesses, nongovernmental organizations (NGOs) and governments can solve life-threatening, economical and technological problems that will improve the health, wealth and livelihood of local communities in developed and developing countries.

This talk aims to show the building process of a Convolutional Neural Network(ConvNets) to classify skin diseases using Google's open source deep learning framework TensorFlow 2.0 and taking advantage of standardization of Keras API inside Tensorflow core to build custom models and layers easily.

Python modules:

  • TensorFlow 2.0

    - Keras (customization)
    
         - Model
    
         - Layers
    
         - loss
    
         - Callbacks
    
  • Matplotlib

  • Pandas

  • Python debugger

Outline -

  • Self Introduction - I will be giving welcome notes and introduce myself to everyone.

  • What is DL?

  • Introduction to and working of a CNN and its uses in the field of computer-vision.

  • How to build custom Convolution Neural Networks(CNN) Architectures with TensorFlow 2.0.

  • Code walk through to a CNN project build from scratch using Tensorflow and transfer-learning to accurately classify and locate objects in an image.

  • A live demo.

  • Conclusion: Where are we currently are regarding AI tools that can impact the health industry and where we are heading as we adopt this industry revolutionizing technology. Sharing resources.

“Good, better, best. Never let it rest. ’Til your good is better and your better is best.” — St. Jerome

Prerequisites:

  1. Basic knowledge of Linear Algebra
  2. Basic background in Python Programming
  3. Basic knowledge of Neural Network and Convolution Neural Network

Most of which you can learn really fast through some of the speaker links below.

Speaker Info:

Prince Canuma is a Computer Science & Engineering student at Parul Institute of Engineering and Technology. His life passion and mission is helping humanity through technology, with this he discovered the amazing field of Artificial intelligence and ever since devoted his time and energy to create solutions to the various problems pestering humanity. He loves to learn and explore new technologies. He has worked on various Deep learning and Web projects - actively participate in hackathons and won 2a place on the latest one.

Id: 1164
Section: Data Science, Machine Learning and AI
Type: Talks
Target Audience: Intermediate
Last Updated: