help with Python
$30-250 USD
Maksettu toimituksen yhteydessä
In this project, we will implement Domain-Adversarial Training of Neural Networks on SVHN → MNIST task. The DANN is a popular unsupervised Domain Adaptation paper which uses the principle of adversarial learning to align the source and target datasets. A classifier trained on the source data can now classify the target data effectively.
In this project we will treat the SVHN dataset of digits as the source domain and the MNIST dataset of digits as the target domain. Note that both the domains need to have the same categories.
I will send all the details to candidate selected.
Projektin tunnus: #29953477
Tietoa projektista
Myönnetty käyttäjälle:
Hi , I have 5 years of experience in python. My area of research is in computer vision and deep learning. I had worked in many projects with supervised ,unsupervised and semi supervised settings. I had worked with the Lisää
5 freelanceria on tarjonnut keskimäärin $174 tähän työhön
Hi, I have 5 year industry experience in machine learning and currently I am following MSc in Artificial Intelligence. I have completed many machine learning ,deep learning and computer vision projects. I am sure I Lisää
I am a pure python developer now i have learned deep learning and machine learning and my brother is a data scientist who have experience in data science so we can do this project together