Tencent Cloud Developer

Nov 30, 2018 · Artificial Intelligence

Understanding Transpose Convolution (Deconvolution) in Convolutional Neural Networks

The article explains how transpose (de)convolution works as the spatial inverse of standard convolution, detailing its relationship to fully‑connected layers, padding, stride, output size formulas, odd‑case handling, and practical implementation in frameworks like PyTorch and TensorFlow.