EXPERT TALK ON INTRODUCTION TO AI FUNDAMENTALS, KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

Mohanraj V's expert talk not only made CNNs easier to understand but also showed how they can be applied in different areas. Subsequently the query session made the students left with a better grasp of Convolutional Neural Networks, ready to explore their uses across various fields.

The expert speaker, Mohanraj V, gave an informative talk about 'Introduction to Convolutional Neural Networks (CNN)'. The talk started by explaining what Deep Learning is, with Mohanraj highlighting how it's changing various industries. He then smoothly moved on to explain what CNNs are, focusing on how they're really good at dealing with pictures and visual data.

The talk went on difference between linear and nonlinear data, complexity of taking decision on nonlinear information, showing how regular neural networks struggle with complex visual info. Mohanraj explained why CNNs are needed to handle this kind of data, because they're designed to understand patterns and features in images.

Going deeper into the topic, Mohanraj talked about how CNNs are structured, breaking down their different parts and how they work. He went into detail about the key things they do, like convolution and pooling, and how these processes help the network recognize different features and patterns.

The highlight of the session was when Mohanraj demonstrated how CNNs work in a practical way using an object detection example. This real-world demonstration using python libraries showcased how CNNs can be used to identify objects in real-time, leaving the audience with a clear picture of what CNNs are capable of.

In the end, Mohanraj V's expert talk not only made CNNs easier to understand but also showed how they can be applied in different areas. Subsequently the query session made the students left with a better grasp of Convolutional Neural Networks, ready to explore their uses across various fields.