Day 13: CNN Explained | 30 Days Free AI Engineering Bootcamp | Chitra Karanam

Welcome to Day 13 of the 30 Days AI Engineering Bootcamp! In today's live session, we'll dive deep into Convolutional Neural Networks (CNNs)—one of the most important deep learning architectures for Computer Vision. 📌 In this session, you'll learn: What is a Convolutional Neural Network (CNN)? Why CNNs are better than traditional Neural Networks for images Convolution Operation Filters (Kernels) and Feature Maps Stride and Padding Pooling Layers (Max & Average Pooling) Flatten Layer Fully Connected Layer CNN Architecture Explained Real-world Applications of CNN Interview Questions & Concepts Whether you're a beginner or preparing for AI/ML interviews, this session will help you build a strong foundation in Deep Learning. 🔥 This session is part of the 30 Days AI Engineering Bootcamp, where we're learning AI Engineering from scratch with hands-on examples. 👉 Don't forget to Like, Share, and Subscribe to Techonquer for daily AI Engineering sessions. #CNN #DeepLearning #ComputerVision #AIEngineer #ArtificialIntelligence #MachineLearning #NeuralNetworks #TensorFlow #PyTorch #Python #Techonquer #AIBootcamp #GenerativeAI #DataScience