Fine-Tuning ResNet for Hotdog Image Classification Using Transfer Learning

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 ...

Posted on Fri, 12 Jun 2026 17:03:14 +0000 by aniket_dj

ECG Signal Classification Using Transfer Learning and Wavelet Transform in MATLAB

%% 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 ...

Posted on Fri, 22 May 2026 19:45:41 +0000 by ovisopa