Computer Vision

  • A brief history of Computer vision starting from the late 1960s to 2017.
  • Computer vision problems includes image classification, object localization, object detection, and scene understanding.

Convolutional Neural Networks

  • ImageNet is one of the biggest datasets in image classification available.
  • Starting 2012 in the ImageNet competition, Convolutional Neural Networks (CNNs) has been the backbone of the most performant image recognition architectures.
  • CNNs were invented by Yann LeCun in 1997.


If you found our work useful, please cite it as:

``` @article{Chadha2020IntroductionToCNNsforVisualRecognition, title = {Introduction to CNNs for Visual Recognition}, author = {Chadha, Aman}, journal = {Distilled Notes for Stanford CS231n: Convolutional Neural Networks for Visual Recognition}, year = {2020}, note = {\url{}} }