Freaks City

Data Preparation and Understanding Dataset Structure The competition provides training and validation datasets in the first phase. The training set (train_label.txt) is used for model training, while the validation set (val_label.txt) serves for hyperparameter tuning and model selection. Each line in these files contains two components: the ima ...

Steps Below we introduce fine‑tuning, a common technique in transfer learning. As illustrated in the following diagram, fine‑tuning consists of four steps. Pre‑train a neural network model (the source model) on a source dataset, e.g., ImageNet. Create a new neural network (the target model). It replicates all model design and parameters from t ...

%% Load ECG dataset and apply preprocessing load('ECGData.mat'); [sigData, sigLabels] = preprocessECG(ECGData); %% Extract time-frequency features using CWT sampleFreq = 128; waveletBank = cwtfilterbank('SignalLength', 1000, 'VoicesPerOctave', 12); waveletFeats = extractWaveletFeatures(sigData, waveletBank); %% Apply data augmentation and spl ...