1. Image classification with Custom Dataset

Dedicated for those who are sick and tired of MNIST.

In this examples, we will be using labeled faces in the wild (LFW).

Subset of LFW dataset can be found in here.
(Please let me know if there are any problems regarding uploading images to the GitHub.)

2. Introduction to CNNs

Gentle introduction to Convolution, Strides, and Zero-padding.

Brief description of AlexNet, VGG, GoogLeNet, and ResNet.

3. Computer Vision Applications

1. Semantic Segmantation (Fully Conv. Net, DeConvNet, and DeepLab with Atrous Convolution)
2. Object Detection Algorithms (R-CNN, Fast R-CNN, SPP-net, and Faster R-CNN)