Compares the accuracy of KNN, HOG/SVM and CNN for classifying an image as cat or dog. Conclusion A CNN is the best approach to this dataset with a 91% accuracy. Neither the KNN or HOG/SVM performed well enough to be considered useable for this dataset as they barely did better than a...
My first model developed at the Masters used an algorithm called Support Vector Machine, which is a classification algorithm. There are three main "approaches" do Machine Learning: Unsupervised Learning, Supervised Learning and Reinforcement Learning. SVM (short for Support Vector Machines) is an algo...