Neural Networks Jobs
Neural Networks is the use of artificial intelligence (AI) to process data or images in a similar manner to how humans do. A Neural Network Engineer is someone who can help clients create AI-powered chatbots, predictive analytics, natural language processing and image recognition. With the use of modern neural networks and deep learning techniques, they can help in transforming businesses and powering greater insights to enable better decision making.
Here's some projects that our expert Neural Network Engineer made real:
- Creating automated systems that can process vocal commands for interactive customer service purposes.
- Understanding the sentiment behind free-form written text, such as reviews or even emails, for better customer insights.
- Enhancing existing models with new technologies like GANs (Generative Adversarial Networks) for advanced computer vision applications.
- Challenging principles from natural languages, such as machine translation of speech from one language into another.
- Helping differentiate between various kinds of images and other visual information to develop automated classification systems.
At Freelancer.com, our range of professional Neural Network Engineers have the skills and experience to help you find the right solutions for your businesses needs. With our platform's comprehensive suite of resources and skillsets, we allow you to gain access to talent quickly, helping you cut down precious project time. From projects as detailed as predicting house prices using satellite images to services as broad as building basic graph neural networks, our engineers could be just what you need to start unlocking your business’s potential today!
Don't wait any longer - hire a specialist online today and post your project on Freelancer.com. Find and collaborate with a talented Neural Network Engineer today and begin transforming the way your business operates - all at an affordable cost!
Baseret på 13,086 bedømmelser, giver vores klienter os Neural Network Engineers 4.87 ud af 5 stjerner.Ansæt Neural Network Engineers
I am looking for a skilled ML expert to help me improve my device placement using Link Prediction. The ideal candidate will have experience with Deep Learning models and be able to assist with data preprocessing and feature engineering. Our primary goal is to reduce computation time, so we are looking for someone who has experience optimizing resource allocation. If you meet these requirements, please bid on our project.
This project is to create an Android app using the open Pose Estimation Lib, which should include two things: - It should have a Machine learning Lib that is open source on GitHub. - And make a library with a call-back function. Video sources can be selected from cameras or galleries to be displayed. On the screen, the decoded video and the result of the Pose Estimation Lib must be overlaid. The value of each part of the measured Pose should be output after indexing with a set value. In order to extract the value, not only simple Android coding, but also simple mathematical calculations must be performed. For details, please refer to the attached file. If you need more information about the open source library, you can visit this site and use the lib provided: Please no...
I need an expert on the topics: RBG to HSV and viceversa, time wrapping, Gausfilter, neural network, hough transformation, wavelets, histograms, Curvature Scale Spaces, Seam-Carving, Basic transformations. Please apply if you can handle tasks on these topics. Would be also a big advantage if you speak german, since the tasks are in german language
I need an expert on the topics: RBG to HSV and viceversa, time wrapping, Gausfilter, neural network, hough transformation, wavelets, histograms, Curvature Scale Spaces, Seam-Carving, Basic transformations. Please apply if you can handle tasks on these topics. Would be also a big advantage if you speak german, since the tasks are in german language
I already have a simple project to get statistics from a video of a recorded tennis match. I have the detected the players, the ball and the court lines. Now I need to add some rules to get statistics. What I need to get is: 1) Total Points Won for each player 2) A heatmap each player 3) A heatmap for the ball
We have a speech to text Windows application in C++ using OpenAI Whisper. However, there is no current functionality for Real-time streaming without using any "hackish/workaround" methods. This is because whisper is splitting the audio into 30 second chunks. We need this functionality invented so that we can use it in our speech to text program. Requirements: have a clear understanding of transformer models on a lower level meaning you can modify decoder/encoder blocks in whisper and you have a clear understanding of how they work you should be able to make a low level implementation if needed taking advantage of SIMD instruction sets in cpp/c
I want a machine learning model that can identify Lego bricks from the provided image(which contains the Lego bricks and can predict different structures and designs which can be made from blocks present in the image. I model should be also capable of creating individual classes for every new image (which is not present in the dataset, used to train in model in the initial stage) that means it should be able to train itself for every new images scanned a reference video link, The Front End part of this application is done I just need the model which can be able to perform the mentioned task by scanning the image (which will be provided by the front End part of this app)