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What is Transfer Learning in Deep Learning?

What is Transfer Learning in Deep Learning? Transfer learning is a deep learning technique to reuse existing pre-trained models for new and similar tasks. As we already know, deep learning models are data-hungry. Also training huge models with large datasets are computationally expensive. Therefore, there are two essential problems: · Lack of data...

What is Transfer Learning in Deep Learning? Transfer learning is a deep learning technique to reuse existing pre-trained models for new and similar tasks. As we already know, deep learning models are data-hungry. Also training huge models with large da...

ECG Analysis: Feature Extraction, Signal Processing and Deep Learning

ECG Analysis: Feature Extraction, Signal Processing, and Deep Learning 1. Introduction Cardiovascular diseases are critical illnesses worldwide and cause 30% of deaths in the world according to the World Health Organization (WHO). Early detection of patients with this risk and a good understanding of the disease is very critical to improve diagnos...

ECG Analysis: Feature Extraction, Signal Processing, and Deep Learning 1. Introduction Cardiovascular diseases are critical illnesses worldwide and cause 30% of deaths in the world according to the World Health Organization (WHO). Early detection of...