FUNDAMENTALS OF DEEP LEARNING

        Dr. V. Karpagam is currently serving as the Professor and Head of the Department of Artificial Intelligence Data Science at Sri Ramakrishna Engineering College, Coimbatore. With 25 years of academic experience, she completed her Ph.D. in the field of Information and Communication Engineering from Anna University, Chennai, in 2014. She earned her Master’s degree in Software Engineering from Sri Ramakrishna Engineering College, Coimbatore, in 2008 and obtained her Bachelor’s Degree in Computer Science & Engineering from Kumaraguru College of Technology, Coimbatore, in 1996. Dr. Karpagam is a recognized Anna University Supervisor and is currently guiding five scholars in the domains of Artificial Intelligence, Medical Image Processing, and Cyber Security. Her research and teaching interests encompass Computer Vision, Deep Learning, Database Technologies, Cyber Security, and Health Analytics.

• To acquire a foundational understanding of the techniques and tools essential for training a deep learning model.

• To gain practical experience with common deep learning data types and model architectures.

• To improve model accuracy by enhancing datasets through data augmentation.

•  To efficiently achieve results with less data and computation by leveraging transfer learning between models.
• To instill confidence in participants to undertake their own projects using modern deep learning frameworks.

  Develop familiarity with deep learning, a field where computer models learn to perform classification tasks directly from various data types, including images, text, or sound.

  Gain awareness of the current trends, support, and resistance within the deep learning domain.

  Understand that deep learning models can achieve state-of-the-art accuracy, sometimes surpassing human-level performance, through technical and fundamental analysis, especially in the stock market.

 Understand that deep learning models can achieve state-of-the-art accuracy, sometimes surpassing human-level performance, through technical and fundamental analysis, especially in the stock market.

 Comprehend that deep learning relies on a multi-layered structure of algorithms known as neural networks, which are designed based on the structure of the human brain.

 Dr. V. Karpagam delivered a comprehensive presentation on the Fundamentals of Deep Learning and actively engaged with students.

  She provided insights into the career opportunities available in the field of deep learning.

 Students exhibited enthusiasm by actively participating, asking questions, and seeking clarification on their doubts.