ShuffleNet is built on pointwise group convolutions and channel shuffle strategies, allowing for more feature map channels and hence more knowledge to be encoded, which is extremely significant for the performance of small networks.
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A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network.
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