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Wed, December 9 at 8:30 AM - 12:30 PM GMT+5:30DeepTech DataTech
In this workshop we'll introduce Convolutional Neural Networks and give examples of how they are used in real life from published and our own projects. Workshop will include introduction of Jupyter notebooks and Google Colab, a tool for researchers to try and learn neural networks with free GPU andTPU time, and go through easy to follow tutorials to make users familiar with CNNs and let them apply these tools to solve problems from simple image recognition to complex signal analysis.
Participants will need to bring their own laptops that have ideally Google Chrome installed, with a Google account, and access to the Internet.
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Tansel is a complex systems expert with background in computer science and over three decades of experience in very diverse industries and disciplines. He worked around the globe as a developer, project leader, consultant, and trainer for several companies, and mastered a wide range of languages and systems, from machine languages to dynamic languages such as Smalltalk and Python, various databases and object persistence engines. He developed or led development of several interactive client-server systems, APIs, and mobile apps.
He is a member of the Berkeley Initiative in Soft Computing since 1997 and developed AI systems including neural networks, fuzzy logic and evolutionary systems using supervised, unsupervised and reinforcement learning.
Tansel is currently at the Garvan Institute of Medical Research coordinating the "Deep Learning Initiative", piloting several deep learning projects, and running seminars and workshops within and outside Garvan to raise awareness of AI, Deep learning, and other soft computing techniques.
