Deep Learning

Summer School Lectures: CNN

Video of comprehensive overview of CNN architectures, key concepts, applications, and advanced models like ResNet and EfficientNet.

Sumit Pandey

Sep 29, 2024 — 1 min read

In the previous lecture, we studied the basics of deep learning. Here is the next article:

The video lecture provides an in-depth overview of convolutional neural networks (CNNs) and their applications. It covers essential CNN architectures such as LeNet, AlexNet, VGG, and more advanced models like ResNet and DenseNet. Key concepts include activation functions, pooling, normalization, and optimization techniques such as backpropagation and gradient descent. It also explores CNN applications in image classification, segmentation, and object detection. Finally, it touches on memory optimization and advanced architectures like MobileNet and EfficientNet.

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Convolutional Neural Network

Convolutional Neural Network.pdf

8 MB

I will upload next part soon.

See you soon. 😃

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