Deep Learning percolates into the various facets of technology. The technology enables computers to capture concept level features hidden in the input data. The methods based on deep learning have a significant impact in the performance of algorithms used for speech recognition, image and video processing, text analysis and medical image processing. This workshop aims towards promoting research, assist to educators and designers in the field of deep learning. The workshop sessions and hands-on will enable participants to understand the basics of deep learning and the various deep learning architectures. The sessions will be handled by eminent members from Bennett University.
THE PROGRAMME WILL COVER THE FOLLOWING TOPICS IN DETAIL AND HANDS-ON ON:
- Hands On with Python
- Basics of Convolutional Neural Networks
- Deep Learning Techniques for Medical Image Processing
- Introduction to Recurrent Neural Networks
- Hands On with Tensorflow 2.0
- Hands On with PyTorch
- Unsupervised Deep Learning
- Deep Generative Models: Autoencoders, Variational Autoencoders, GANs
- Advanced Deep Learning Topics in CNN
- Advanced Deep Learning Topics in RNN
- Deep Learning Model Optimization
- Neural Architecture Search (NAS): AutoML, Auto Keras, Multi-objective Approaches
ELIGIBILITY
This workshop is open to the faculty members from AICTE/UGC approved academic institutions, Research Scholars, IT Professionals and PG students.
REGISTRATION FEE
The registration fee for participants including GST has been given below
Industry: 4000
Faculty: 3500
Research Scholar and PG students : 3000
Session Coverage – click here
Workshop Brochure – click here
Registration link – click here
Event Timing: May 20th – 22nd, 2019
Organized by: Department of Computer Science and Engineering
Venue: Mar Baselios College of Engineering and Technology, Thiruvananthapuram, Kerala
Ms. Jesna Mohan Assistant Professor
Department of CSE
MBCET Phone: 9497467715
Mr. Ramjith R P
Assistant Professor
Department of CSE
MBCET Phone: 9746314160
Email: [email protected]