Virtual Workshop on ANN and its Variants : Theory and Practice

Artificial neural networks (ANN) are computational machines
inspired by the biological central nerve response system. A neuron
in an ANN known as perceptron processes an input signal only if
its strength reaches a preset threshold. The ANN comprise of an
interconnection network of neurons organized into several layers
coupled with a learning rule to update the connection rules
transforms a given input signal into the desired output. In recent
times, there has been a resurgence in ANN research with the
advent of Boltzmann Learning Machine, Cognitron, Neocognitron
and the Deep Neural Networks. The Complex-Valued, Spiking, and
Evolutionary ANNs have shown promising results in real-life
applications and decision making. The learning objectives include
training in basic theory including practice on ANN models and their
variants using Python.

Expert Speakers:

• Prof. Akira Hirose, University of Tokyo, Japan.
• Prof. Risto Miikkulainen, University of Texas, USA.
• Prof. Marley Vellasco, PUC-Rio, Brazil.
• Prof. Alexandros (Alekos) Iosifidis, Aarhus University, Denmark.
• Mr. Dat Thanh Tran, Tampere University, Finland.
• Prof. Rama Murthy, Mahindra University, India
• Dr. Tilottama Goswami, Anurag University, India
• Ms. Uponika Barman Roy, TCS, India
• Dr. Naresh, India

Day 1 ( Thu, 24th September, 2020 )

• 2:00 PM – 2:15 PM: Virtual Inauguration
• 2:15 PM – 3:15 PM: “Introduction to ANN Models” by Prof. Akira Hirose, University of Tokyo, Japan.
• 3:30 AM – 4:30 PM: “Complex Valued NN and Applications in Remote Sensing” by Prof. Akira Hirose, University of Tokyo, Japan.
• 4:45 PM – 6:15 PM: “Associate Memories” by Prof. Rama Murthy, Mahindra University, India.

Day 2 ( Fri, 25th September, 2020 )

• 2:00 PM – 3:10 PM: “Introduction to Python basic libraries” by Ms. Uponika Barman Roy.
• 3:30 PM – 4:15 PM: Assignment on Python basic libraries using Google colab and Google classroom” by Ms. Uponika Barman Roy.
• 4:30 PM – 5:30 PM: “Neuro-Evolutionary models” by Prof. Marley Vellasco.
• 5:30 PM – 8:30 PM: “Introduction to Scikit-learn for demonstrating end to end project  on Google CoLab” by Dr. Tilottama and Ms. Uponika Barman Roy. This session will include a hands on assignment.
• 8:30 PM – 10:00 PM: “Evolution to Optimize Neural Networks in Decision-making Tasks” by Prof. Risto.

Day 3 ( Sat, 26th September, 2020 )

• 2:00 PM – 3:10 PM: “Generalized Operational Perceptrons” by Prof. Alexandros (Alekos) Iosifidis, Aarhus University, Denmark.
• 3:30 PM – 5:30 PM: “Hands-on tutorial of Generalized Operational Perceptrons using PyGOP library” by Mr. Dat Thanh Tran, Tampere University, Finland.
• 5:30 PM – 6:15 PM: “Introduction to Keras APIs for demonstrating Deep Learning on Google CoLab” by Dr. Naresh, India.
• 6:30 PM – 7:45 PM: “Assignment on DL on Google CoLab” by Dr.Naresh and Dr.Tilottama.
• 7:45 PM – 8:00 PM: Vote of Thanks

Registration Fees:

Members of ACM/IEEE
                   Professional      : Rs.500 
                   Student Member    : Rs.300
Non-Members of ACM/IEEE
                    Professional     : Rs.600
                    Student Member   : Rs.400

International Participants   : 10 USD

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