# CNN Architectures

Source: [https://docs.qualcomm.com/doc/80-63442-4/topic/cnn-architectures.html](https://docs.qualcomm.com/doc/80-63442-4/topic/cnn-architectures.html)

Applying convolutional neural networks to computer vision

CNNs are useful in extracting features from images. The following pages describe the
            approaches and differentiators among the most common architectures used in computer
            vision.

- **[Deep Learning and Convolutional Neural Networks for Computer Vision](https://docs.qualcomm.com/doc/80-63442-4/topic/deep-learning-and-convolutional-neural-networks-for-computer-vision.html)**  

Inside the convolution and pooling layers of a CNN
- **[Computer Vision CNN Architectures](https://docs.qualcomm.com/doc/80-63442-4/topic/computer-vision-cnn-architectures.html)**  

Three classic network architectures for combining layers to increase         accuracy
- **[Advanced Computer Vision CNN Architectures](https://docs.qualcomm.com/doc/80-63442-4/topic/advanced-computer-vision-cnn-architectures.html)**  

Visualization in GoogleNet Inception and ResNet

Last Published: Jun 24, 2024

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