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.
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 Plus
6 freelances font une offre moyenne de 153 $ pour ce travail
Hi ! I hope you are good. I can complete your project on time and want to discuss more about this i read your all requirements i have 6 years experience. I have worked on similar projects to what you are looking for, Plus
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 Plus
Python Expert DEAR EMPLOYER, After KEENLY reading your description and being in possession of all clearly stated required skills I hereby humbly request you to consider my bid for quality work. THANK-YOU
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