Topic: deconvolutionalneuralnetwork Goto Github
Some thing interesting about deconvolutionalneuralnetwork
Some thing interesting about deconvolutionalneuralnetwork
deconvolutionalneuralnetwork,This repository contains application based on various gans
User: ankitesh97
deconvolutionalneuralnetwork,Takes a number and generates the images of those numbers. Trained on MNIST using Deconvolution Neural Networks (Fancy word for Transposed Convolution)
User: gitlost-murali
deconvolutionalneuralnetwork,Tensorflow Implementation of adversarial learning based adversarial example generator
User: jsikyoon
deconvolutionalneuralnetwork,Color the black and white picture with tensorflow
User: kiruthihan10
deconvolutionalneuralnetwork,I have used an inverted CNN as a generator and CNN as a Discriminator .Firstly,Trained the discriminator using real images , then with fake images through the 3 channels provided by the generator.Used ReLU activation for forward propogation in Generator network, LeakyReLU for forward propogation in Discriminator network and then computed the losses using binary cross entropy and update the weights through backpropogation .Check Results folder for generated images .
User: naga-anjaneyulu
deconvolutionalneuralnetwork,
User: raghu36
deconvolutionalneuralnetwork,Improve Resolution of images using deep-learning techniques
User: rsampaths16
deconvolutionalneuralnetwork,Classifying, Generating 101 different objects with tensorflow
User: victor-iyi
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