Convolutional Neural Network (CNN) Explained | Deep Learning Theory for Beginners скачать в хорошем качестве

Convolutional Neural Network (CNN) Explained | Deep Learning Theory for Beginners

In this theoretical video, we break down the concepts behind *Convolutional Neural Networks (CNNs)* — the backbone of modern AI systems for image processing and computer vision. 📘 Topics Covered: What is a Neural Network? Introduction to Convolutional Neural Networks Why CNNs are better for image data Convolution, Pooling, Activation, and Fully Connected Layers How CNNs learn spatial hierarchies of features Real-life applications (e.g., Face Recognition, Medical Imaging, Self-driving Cars) 📌 This video is ideal for students, AI beginners, and anyone curious about how machines interpret images using neural networks — without diving into code. 🎓 Whether you’re preparing for an AI course, an interview, or just building your concepts, this video will help you grasp CNN fundamentals clearly. #CNN #ConvolutionalNeuralNetwork #AITheory #DeepLearning #NeuralNetworks #MachineLearning #ComputerVision #ImageProcessing #ArtificialIntelligence #AIConcepts