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.

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

Tentang Klien:
( 30 ulasan ) Calicut, India

ID Projek: #34010382

11 pekerja bebas membida secara purata ₹515/jam untuk pekerjaan ini

(45 Ulasan)

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Hello sir, I am very interested in your project. I have gone through your requirements and i believe that i can be a valuable asset to your project. I am an expert in machine learning, deep learning and computer visi Lagi

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Hi, I have 4 years of professional experience in ML projects. I have work on multiple domains for ML solution including GANs and Autoencoder. Based upon JD I think I can do this task. Let's chat and discuss further...

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