Tensorflow Jobs

i am looking for ml programmer with experienced in research of 3-5yrs of experience in both, published papers in reputed journals or ugc approved journals atleast 10,12 papers in ai,ml,dl domain must work on interesed project implement code work as soon as possible and help in research paper writing

Hi I have a numeric dataset (not images) for apply deep learning classification. Dataset has 3 class but these are imbalanced sizes. For example class 1:200 , class 2:3200 , class 3:190 labels. I'm trying to train it in Keras or Tensorflow for classification. At the result; All prediction are collected in Class 2: So i searched the problem in internet and i found that i must define an weigh...

We need to develop and algorithm to detect, track and count livestock (pigs) on logistic process that take place on meat supply chain, using live video feeds. The goal is to assure that the correct number of animals was moved to a certain area or boarded into a truck. This application need to use edge processing techniques, as it need to work even without internet connectivity. Also, it needs to...

Hello freelancers, We are working on a project that deals with following javascript technologies: - Latest chrome beta features like: OffscreenCanvas, Workers, etc.. - JS Modules ( native ) - [login to view URL] - HTML5 Video Basics are required. Advanced js tech can be learned along the way. You will be working on partially developed scripts that require new features as well as performance up...

Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture the low-level pixel statistics, and hence the g...

Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture the low-level pixel statistics, and hence the g...

Steganalysis is binary classification problem. Two classes here are stego- image with embedded secret data and Pure image- without secret data. Residual networks proposed for image classification can be used even for steganalysis problem we need to implement the paper attached with this proposal and reproduce the results.

Looking to have a simple text classifier built for an open source project to be released under the Apache License 2.0, the model will take a label and text as inputs and out put the top labels and their probability of matching. Working from an existing open source project is an option so long as the requirements are met. The three primary functions which the scripts will need to complete are 1. A...

Hiện tại, tôi có 2 app có sẵn đang hoạt động: - 1 app nhận diện đối tượng - 1 app hiển thị đối tượng 3D lên màn hình có sử dụng ARCore Tôi muốn ghép hai app này lại, để sau khi nhận diện được đối tượng thì sẽ hiển thị luôn lên ảnh 3D của đối tượng đó tạo thành một luồng.