I am taking courses on Machine learning using tensorflow. From the first two courses, here is a summary of what I have learnt. Inputs -> outputs Find the rules that caused output from inputs Examples could be

  1. y = f(x) find their relationship
  2. Classification of different images with numbers from 0 to 9. The training set is already there with images marked prior to classification.
  3. Classification of dogs and cats (automatic and without any prior knowledge of the classifying patterns)