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