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Autoencoders and GAN implementation - Python Implementation

Main Task - Image Reconstruction

1. Custom image Dataset must be loaded from the local drive. As of now you can load your own dataset.

2. Image Augmentation have to be included

Important: There should not be any restriction on the dimensions of the image. It will work with all the image dimensions

Step 1:

3. The various types of Autoencoder techniques and GAN must compared with and without hyper parameter tuning, Ensembling methods with various performance metrics.

4. There is an option to mention and control the types of noises with the range

5. The reconstructed results will be checked with the bunch of images or else the single image with similarity score with the input image.

Навыки: Deep Learning, Computer Vision, Machine Learning (ML), Tensorflow, Pytorch

О клиенте:
( 30 отзыв(-а, -ов) ) Calicut, India

ID проекта: #34010382

11 фрилансеров(-а) готовы выполнить эту работу в среднем за ₹515/час

(45 отзывов(-а))
6.7
sajjadtaghvaeifr

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4.1
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3.8
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mapsbox

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2.0
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1.4
gradefinnesse

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