ANN and Deep Learning (NKN Summer Course) @ NIT Warangal

Participants Information

Participants:	70
Speakers:	06
Female participants:	29
Male participants:	41
Participants from SC/ST category:	12
Research Scholars:	07

Lab Sessions

• Implementing CNN Architecture
• CNN Using Tensor Flow
• RNN Model Completion

Topics Covered

• Challenges and oppurtunities in ML and Neural Networks
• Introduction to Python
• Introduction to ANN
• Implementing Forward propagation in python
• Logistic Regression
• Deep Neural Networks
• Convolutional Neural Networks
• Variants of CNN

List of Speakers

Bhatt Dittakavi, CEO, Variance. AI, Hyderabad

Dr. Vineet Balasubramanian, Associate Professor, IIT Hyderabad

Prof. Chakravarthy Bhagavati, Professor, University of Hyderabad, Hyderabd

Dr. S. Nagesh Bhatt, Assistant Professor, IDRBT, Hyderabad

Prof. N. P. Paddy, Professor, IIT Roorkee

Prof. A. Ohja, Professor, IIITDM Jabalpur

Feedback Summary

FDP was very informative, useful and research oriented.

Resource Persons were the major highlight of the programme.

Lab Assignments given during the FDP were very challenging.

Suggestions from Participants

Duration of the course should be increased.