#

transpose-convolution

Here are 16 public repositories matching this topic...

preritj / segmentation

Tensorflow implementation : U-net and FCN with global convolution

Updated May 16, 2019
Python

Puneet2000 / In-Depth-ML

In depth machine learning resources

machine-learning svm probability cross-validation regression cnn kaggle gan rnn ensemble logistic-regression preprocessing decision-trees boosting-algorithms stacking linear-discriminant-analysis boosting perceptron-learning-algorithm transpose-convolution

Updated Dec 4, 2018
Jupyter Notebook

f-dangel / einconv

Convolutions and more as einsum for PyTorch

fisher pytorch convolution ntk transpose-convolution im2col kfac einsum tensornetwork einsum-notation vjp jvp ggn

Updated Jun 6, 2024
Python

many-facedgod / Numpy-Atrous-Transposed-CNN

A Numpy implementation of the dilated/atrous CNNs proposed by Yu et al. as well as transposed convolutions.

deep-learning convolutional-neural-networks dilatednet transpose-convolution im2row transposedconvolution dilated-convolution

Updated Jan 2, 2020
Python

wanderly0501 / Image-Segmentation-for-Road-Detection

Semantic segmentation for road detection using fully-convolutional network

tensorflow aws-ec2 semantic-segmentation fully-convolutional-networks road-detection encoder-decoder transpose-convolution

Updated Jun 19, 2018
Jupyter Notebook

NvsYashwanth / MNIST-Autoecncoder

MNIST Image reconstruction using Autoencoders

deep-learning image-reconstruction encoder decoder cnn mnist neural-networks convolutional-layers autoencoder convolutional-neural-networks upsampling mnist-handwriting-recognition transpose-convolution linear-layers

Updated Sep 17, 2020
Jupyter Notebook

heydarimo / DCGAN

In this project, we tend to generate some high-quality paintings using the ABSTRACT-ART-GALLERY dataset according to the DCGAN concept!

generative-adversarial-network dcgan convolutional-layers transpose-convolution abstract-art-dataset

Updated Aug 15, 2022
Jupyter Notebook

HyBISCIS / MicroECT

Microscale 3-D Capacitence Tomography with a CMOS Sensor Array (BioCAS23)

deep-learning ect tomography inverse transpose-convolution

Updated Oct 19, 2023
Python

anik475 / Vission-Transformer-for-Image-Segemntion-using-UNET-R

Implementation of V architecture with Vission Transformer for Image Segemntion Task

cnn segmentation fcn perceptron encoder-decoder-model transpose-convolution multiclass-image-classification multihead-attention-networks vision-transformer patch-embeddings

Updated Jul 17, 2024
Jupyter Notebook

Bushramjad / FCN-Semantic-Segmenter.

Fully Convolutional Networks (Image Segmentation) with Resnet18 as a backbone

semantic-segmentation transpose-convolution resnet-18

Updated Sep 25, 2022
Jupyter Notebook

hector-sab / Deconvolution-Tensorflow

Function for transpose convolution or 'deconvolution' in tensorflow

tensorflow deconvolution transpose-convolution transposedconvolution

Updated Feb 3, 2018
Python

FC-Li / convolution_vs_transpose_convolution

convolution deeplearning transpose-convolution

Updated Aug 9, 2018
Jupyter Notebook

sandeeppaulraj / CarND-Semantic-Segmentation

python udacity deep-learning tensorflow self-driving-car convolutional-neural-networks vgg16 semantic-segmentation udacity-self-driving-car transpose-convolution skip-connections

Updated Jul 26, 2018
Jupyter Notebook

somjit101 / DCGAN-Gradient-Tape

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.

neural-network tensorflow generative-adversarial-network gan batch-normalization convolutional-layers mnist-dataset deconvolution keras-tensorflow dcgan-tensorflow transpose-convolution gradient-tape dropout-layers

Updated Sep 22, 2021
Jupyter Notebook

Sh-31 / VAE-MNIST

Implementation of Variational Autoencoder (VAE) for the MNIST dataset, supporting both fully connected (FNN) and convolutional (CNN) architectures. It includes training, evaluation, and empirical analysis.

pytorch mnist vae beta-vae variational-autoencoder transpose-convolution

Updated Jun 20, 2025
Jupyter Notebook

zahra-ahmadbeigloo / Deep-Learning-Projects

This repository contains a collection of deep learning projects implemented from scratch and using Keras/TensorFlow. The focus is on learning and experimenting with different neural network architectures for both foundational understanding and practical application.

transformers rnn autoencoder transfer-learning cnn-model lstm-neural-networks transpose-convolution vgg16-model functional-api custom-layer

Updated Sep 27, 2025
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