This is a tutorial to implement DeconvNet, Backpropagation, SmoothGrad, and GuidedBackprop using Keras.
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Updated
Aug 20, 2022 - Jupyter Notebook
This is a tutorial to implement DeconvNet, Backpropagation, SmoothGrad, and GuidedBackprop using Keras.
Tensorflow Implementation of adversarial learning based adversarial example generator
Color the black and white picture with tensorflow
Takes a number and generates the images of those numbers. Trained on MNIST using Deconvolution Neural Networks (Fancy word for Transposed Convolution)
Classifying, Generating 101 different objects with tensorflow
This repository contains application based on various gans
Improve Resolution of images using deep-learning techniques
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 los…
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