Hands-on Workshop on Deep
Learning by Ms. Usha Rengaraju

Speaker
Usha Rengaraju
(World’s First Woman Triple Kaggle Grandmaster)
Chief Data Scientist at Exa Protocol | Founder NeuroAI

Overview of the Workshop:

This comprehensive workshop provides hands-on experience in deep learning, equipping the learners with the skills necessary to delve into the advanced topics of natural language processing and computer vision.

Brief Introduction of the speaker

Ms. Usha is the head of data science research at Exa Protocol and the world’s first female triple Kaggle Grandmaster. She specializes in Deep Learning and Probabilistic Graphical Models. Usha has judged prestigious competitions like Tiger Graph’s “Graph for all – Million Dollar Challenge” and Intel’s oneAPI Hackathon.

She has been recognized as one of India’s top ten Data Scientists in 2020 and one of the top ten women data scientists in 2021. Ms. Usha organized India’s first-ever NeuroAI research symposium and the Neurodiversity India Summit. She has won competitions such as Google’s “ML in Action” and the WiDS 2022 Datathon at Stanford University. Usha has also been honored with the Kaggle ML Research spotlight in 2022 and the TensorFlow Community Spotlight in 2023.

Topics Covered

1. PyTorch: Basics and Intermediate
2. TensorFlow: Basics
3. TensorFlow: Intermediate
4. Artificial Neural Networks
5. Convolutional Neural Networks
6. Optimization Techniques (Part 1)
7. Optimization Techniques (Part 2)
8. Transfer Learning
9. Generative Modelling with Deep Learning
10. State-of-the-Art Architectures in Deep Learning

Total Duration of the Workshop: 40 Hours [5 Days]

Dates: 5th (Friday), 6th (Saturday), 12th (Friday), 13th (Saturday) and 19th April (Friday), 2024. 9 am – 5.30 pm

Workshop Outcomes

1. Implement Artificial Neural Network (ANN) from scratch, using Numpy and PyTorch.
2. Implement CNN using PyTorch for image classification.
3. Understand transfer learning and fine-tuning of a pre-trained CNN model for image classification.
4. Implement deep learning optimization techniques, along with hyperparameter tuning.
5. Implement and fine-tune SOTA architectures in PyTorch and applications in domains such as image classification, object detection and segmentation.
6. Understand generative modeling in deep learning with Variational Auto-Encoders (VAEs) and Generative Adversarial Networks (GANs) and applications in image generation, style transfer and so on.
7. Understand TensorFlow, Keras3, KerasCV, and KerasNLP.

Who Can Attend

• Faculty and Teaching Assistants
• Research Scholars
• Students
• Working Professionals

Prerequisites

• Basic understanding of Machine Learning and Python programming language.
• Bring your own laptop and data plan.

Registration

• Limited Seats
• Registration Fee:
  1. Early-bird Registration Fee
     1. Faculty: Rs. 500
     2. Students: Rs. 3,000
     3. Working Professionals: Rs. 5,000
  2. Regular Registration Fee
     1. Faculty: Rs. 500
     2. Students: Rs. 4,000
     3. Working Professionals: Rs. 8,000
• Registration link
  

  The link will be updated soon.

Don’t miss this opportunity to learn from a world-renowned expert and gain valuable hands-on skills in Deep Learning!

For Registration and Inquiries:

Faculty Coordinators – Prof. Shanti Konda, Prof. Ashwini Kumar Mathur
Student Coordinator
Contact: 7905281329, 9704061564
Email ID: dhee@rvu.edu.in (email for faster response)