Electronics & ICT Academy, Telangana State, India

Participants:	48
Speakers:	10
Female participants:	24
Male participants:	24
Participants from SC/ST category:	0
Research Scholars:	05

Introduction to Python, Jupyter Notebook, Pytorch, Google Colab
Code writing for Image processing methods - Edge detection, and Image Enhancement
Neural Networks and Back Propagation
Python libraries, First program on Image classification using an ML algorithm
Building a classification model using CNN, Use of Tensorflow and Pytorch
Transfer learning and classification for plant disease classification
: Using YOLO the and Darknet Framework for object detection
Image Denoising with an autoencoder
Building a CNN model for image segmentation with application to fire/smoke segmentation in satellite images

Frontiers of AI for Computer Vision
Intro to Image Processing, Algorithms on edge detection, image enhancement, segmentation etc
Intro to AI and ML (supervised and unsupervised learning methods. K-means, SVM) with applications to Image Processing
Neural Networks: Regularization, Optimization and Challenges in training deep neural networks, Vanishing gradient problem.
Convolution Neural Networks (CNNs)
Deep CNN architectures, Transfer Learning and Applications
Object Detection using CNN
Autoencoder and Their Applications
CNN Applications in Segmentation and Medical Image Analysis
Recent Trends in ML for CV

Highlights

Prof. P.K. Biswas, IIT Kharagpur

Dr Rajib Jha, IIT Patna

Dr M Tanveer, IIT Indore

Dr. Partha Pratim Roy, IIT Roorkee

Prof. Aparajita Ojha, IIITDM Jabalpur

Dr Santosh Viparthi, IIT Guwahati /MNIT Jaipur

Prof. R. Balasubramanian, IIT Roorkee

Ms. Poornima Singh Thakur, IIITDM Jabalpur

Mr Samir Jain, IIITDM Jabalpur

Ms Shubhangi Chaturvedi, IIITDM Jabalpur

FDP was very informative and qualitative.

The program was organized perfectly.

Participants requested to conduct more FDPs of this type.

Participants requested to conduct more Hands on Sessions.