machine learning - How to update the weights of a Deconvolutional Layer? - Stack Overflow
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How to calculate stride and padding for deconvolution · Issue #2 · pgtgrly/Convolution-Deconvolution-Network-Pytorch · GitHub
![FPGA-based systolic deconvolution architecture for upsampling [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2022/cs-973/1/fig-5-2x.jpg "FPGA-based systolic deconvolution architecture for upsampling [PeerJ]")
FPGA-based systolic deconvolution architecture for upsampling [PeerJ]
FCN-Engine: Accelerating Deconvolutional Layers in Classic CNN Processors | Semantic Scholar
Fine-grained visual explanations for the convolutional neural network via class discriminative deconvolution | SpringerLink
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Transposed Convolution - YouTube
DeConvolution and How it works and its importance? | by Prasant Kumar | Geek Culture | Medium
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一文搞懂deconvolution、transposed convolution、sub-pixel or fractional convolution - shine-lee - 博客园
J. Imaging | Free Full-Text | Efficient Deconvolution Architecture for Heterogeneous Systems-on-Chip | HTML
14.10. Transposed Convolution — Dive into Deep Learning 1.0.0-alpha1.post0 documentation
A convex 3D deconvolution algorithm for low photon count fluorescence imaging | Scientific Reports
Deconvolution operation by padding and convolution | Download Scientific Diagram
Image Deconvolution - Wolfram Demonstrations Project
Accelerating Generative Neural Networks on Unmodified Deep Learning Processors - A Software Approach
Convolution arithmetic tutorial — Theano 1.1.2+29.g8b2825658.dirty documentation
Convolution and Deconvolution Revisited – From Data to Decisions
Understand Transposed Convolutions | by Kuan Wei | Towards Data Science
TF Notes (4), Deconvolution | 棒棒生
Deconvolutions and what to do about artifacts -
neural network - What are deconvolutional layers? - Data Science Stack Exchange
