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Neural Networks 01 [cs231n]

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Neural Networks 01 [cs231n]

This is a summary of the CS231n course by Stanford University.

Image Classification

Image Classification is the task of assigning an input imnage one label from a fixed set of categories.

Challenges

  • Viewpoint variation
  • Scale variation
  • Deformation
  • Occlusion
  • Illumination conditions
  • Background clutter
  • Intra-class variation

image-classification-challenges

Nearest Neighbor Classifier

Example image classification dataset: CIFAR-10

One popular toy image classification dataset is the CIFAR-10 dataset. This dataset consists of 60,000 tiny images that are 32 pixels high and wide. Each image is labeled with one of 10 classes. These 60,000 images are partitioned into a training set of 50,000 images and a test set of 10,000 images.

Study, CV
study cv cs231n
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