NOTES link – https://drive.google.com/drive/folders/1TLyHz3uaGQ4vQT_NFVBxgdRFXKKE5Iui
In this video, we will understand Convolutional Neural Networks (CNNs) โ one of the most powerful models in Deep Learning used for image recognition, computer vision, and pattern detection.
๐ Youโll learn what CNN is, how it works step by step, and what each layer does in the network.
๐ A simple real-life example is also included to help you visualize how CNNs detect features like edges, shapes, and objects.
๐น 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
๐ฏ This video is useful for students learning Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision concepts.
๐ Language: Hindi (with English technical terms)
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#workingofcnn #ml
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