DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks

Are you interested in learning about Convolutional Neural Networks (CNN) and how they can help you solve image classification problems? Join us for a 1.5-hour practical hands-on session where we'll explore why we need CNNs over standard Artificial Neural Networks (ANNs) and learn about the differences between CNNs and ANNs for image classification tasks.

We'll dive deep into the components of CNNs, including convolutional layers and pooling layers, and demonstrate how they work in an end-to-end image classification project using TensorFlow/Keras. You'll gain practical experience in building and training your own CNN and learn how to apply it to real-world problems.

In addition to this, we'll also discuss some state-of-the-art CNN architectures for solving large-scale object detection, object tracking, and image classification problems. By the end of this session, you'll have a solid understanding of how CNNs work and how they can be applied to solve real-world problems. So, come and join us on this exciting journey, and take your first step towards understanding how to turn pixels into insights!

Prerequisites: A zeal for learning new technologies, and good have a basic knowledge of Data Science. 

Prashant Sahu is a dynamic Data Science Manager with extensive experience in AI, ML, and advanced analytics. He excels in leading high-impact B2B pre-sales initiatives, developing comprehensive training programs, and delivering strategic data solutions. His expertise spans the Python ecosystem, deep learning frameworks, Generative AI models and algorithms, Big data analytics, NLP, and model deployment. At Analytics Vidhya, Prashant has managed data science projects, conducted training requirement analysis, and executed post-training impact analysis to ensure program effectiveness. As a Subject Matter Expert in Data Science, he reviews courses under the flagship BlackBelt and Pinnacle GenAI programs and evaluates new speakers, trainers, and SMEs for the platform. Prashant is finishing his Ph.D. from IIT Bombay. You can reach him on LinkedIn