After playing with lane lines detection and traffic signs recognition, it’s time to feed a Deep Neural Network with a video recorded during human driving. The model will be trained afterwards to act “humanlike” and predict correct steering angles while…
This is the last post in series about Support Vector Machine classifier. We already feel the basics of SVM. We have our data preprocessed. Finally, we know the influence of some major hyperparameters on the classifier. Now, let’s choose proper…
This time we are going to discuss the influence of two basic variables on the quality of SVM classifier. They are called hyperparameters to distinguish them from the parameters optimized in a machine learning procedures. Two previous posts introduced Support…
Data preprocessing is a very important and quite underestimated step in Machine Learning pipelines. It provides cleaned and relevant datasets which then can be used in further steps like classification or regression. I will describe a study case for data…
Ze względu na to, że przy operacji oddzielania tła od obrazu w projekcie Flover używam algorytmu Support Vector Machine (SVM), postaram się go dzisiaj przystępnie opisać. To bardzo popularna metoda znana ze swojej skuteczności w dziedzinie Machine Learning. Ma za…
W rozpoznawaniu obrazów często mamy do czynienia segmentacją. Przeprowadzamy ją gdy chcemy zmienić reprezentację obrazu na łatwiejszą do analizy – zamiast obrazu w postaci pikseli otrzymujemy regiony, które są w jakiś sposób jednorodne, np. pod względem koloru, odcieni szarości czy tekstury. Te…
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