The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)
Read OriginalThis article provides a detailed summary of nine influential deep learning papers, focusing on advancements in convolutional neural networks (CNNs) and computer vision. It begins with the seminal AlexNet paper from 2012 and covers major architectural developments and important subarea research published over a five-year period, explaining their significance to the field.
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