Computer Vision Tasks with Convolutional Neural Networks

This repository contains the slide show of a 45 minutes presentation about advances in computer vision task using CNNs.

	Section	Description
1	Introduction	ConvNet applications in everyday life. Background study of cat’s brain.
2	Important Layers	Introducing layers found in a CNN like convolution, pooling, and fully connected layers.
3	CNN Architectures	Introducing and comparing AlexNet, VGG, GoogleNet and ResNet.
4	Classification with Localization	Define localization as a regression problem. Body pose estimation.
5	Object Detection	Introducing RCNN, Fast RCNN, Faster RCNN and Yolo.

You can watch Stanford CS231n lectures to gain deeper insight.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details