Labs exercises in NTUA (2019) for the Pattern Recognition course 9th semester.
Contributors:
####Lab 1: Visual Digits Recognition The main purpose of this exercise is to build an automatic visual recognition system of hand-written digits from 0 to 9.
####Lab 2: Spoken-Digits Recognition In this exercise we experimented on a typical digit recognition system from speech data provided by the laboratory exercise files. We do not provide the data for this task.
####Lab 3: Music Genre Classification and Emotion Recognition In this exercise we experimented with deep learning architectures for implementing music genre classification and emotion recognition. Our provided solution in step 12, was ranked 2nd in the corresponding Kaggle competition. We should also note that we do not provide the training and testing data.