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Tensorflow implementation : U-net and FCN with global convolution
In depth machine learning resources
This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.
A Numpy implementation of the dilated/atrous CNNs proposed by Yu et al. as well as transposed convolutions.
Semantic segmentation for road detection using fully-convolutional network
MNIST Image reconstruction using Autoencoders
Function for transpose convolution or 'deconvolution' in tensorflow
In this project, we tend to generate some high-quality paintings using the ABSTRACT-ART-GALLERY dataset according to the DCGAN concept!
Fully Convolutional Networks (Image Segmentation) with Resnet18 as a backbone
A study of the use of the Tensorflow GradientTape class for differentiation and custom gradient generation along with its use to implement a Deep-Convolutional Generative Adversarial Network (GAN) to generate images of hand-written digits.