I am about to choose my topic for Master thesis and I just thought about spectral clustering algorithm. I am not much into this topic and I am wondering if somebody has more experience with this and could help me.I was thinking about taking this algorithm to multidimensional level e.g. take multiple pairs of classes in huge dataset and try to take decision...
PhD Studentship in AI Driven Population Health Study : Improving medication verification for cancer patients Applications are invited for a three-year PhD studentship. The studentship will start on 1 October, 2021, or as soon as possible after that. Project Description Medication errors, including those in prescribing, dispensing, or administration...
This is a place to share machine learning research papers, journals, and articles that you're reading this week. If it relates to what you're researching, by all means elaborate and give us your insight, otherwise it could just be an interesting paper you've read. Please try to provide some insight from your understanding and please don't post things...
Hey everyone :) I am currently working on a project but I am new to GAN (and also kind of new to ML) and wanted to ask if the following project is possible with GANs / if GANs are powerful enough: If I have a lot of pictures of objects, e.g. humans, and they vary all a little bit in their size. For example I have images of people with a height of 1.70m,...
submitted by /u/beleeee_dat [link] [comments]
Here is an interesting post I have found: https://towardsdatascience.com/dont-learn-deep-learning-d23485e4c1c4 I am grad student by the way. I thought about taking a course on DL after two ML courses but now i am not quite sure if it wouldn‘t be better to take something else… submitted by /u/Peter2448 [link] [comments]
submitted by /u/Sunny_Smashes [link] [comments]
Hi all, I started torchSR, a package for super-resolution networks written in Pytorch. It's inspired by torchvision, and should feel familiar to torchvision users. Check it out! Low-resolution image, super-resolution (x4) and ground truth At the moment, I implemented many datasets, the most popular models (EDSR, RCAN, ...), and a number of network improvements...
I know a simple way, if I a dataset, I train a CNN model and I get a pretraining model. But if I have three different datasets, x-ray, ct-scan, MRI. I cant combine them to a single dataset as the model will learn the dataset instead of classes as data characteristics are different. So if I train the model on one dataset, then 2nd, then third. Will all...
submitted by /u/pinter69 [link] [comments]
Subscribe to RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.Get Inoreader