NOTES link – https://drive.google.com/drive/folders/1TLyHz3uaGQ4vQT_NFVBxgdRFXKKE5Iui
In this video, we will understand Convolutional Neural Networks (CNNs) — one of the most powerful models in Deep Learning used for image recognition, computer vision, and pattern detection.
👉 You’ll learn what CNN is, how it works step by step, and what each layer does in the network.
👉 A simple real-life example is also included to help you visualize how CNNs detect features like edges, shapes, and objects.
🔹 Topics Covered:
Introduction to Convolutional Neural Networks (CNN)
Need for CNN in Deep Learning
Working of CNN (Step-by-step explanation)
Layers in CNN:
Convolution Layer
Activation Layer (ReLU)
Pooling Layer
Fully Connected Layer
Real-life Example: Image Recognition process
Applications of CNN in the modern world
🎯 This video is useful for students learning Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision concepts.
📘 Language: Hindi (with English technical terms)
If you find this helpful, don’t forget to LIKE, SHARE, and SUBSCRIBE for more such tutorials!
#CNN #ConvolutionalNeuralNetwork #DeepLearning #MachineLearning #NeuralNetworks #ComputerVision #cnn
#workingofcnn #ml
source