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!
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I have an NBA Prediction code in python. Task: 1.) Copy all the python codes to a Jupyter notebook and debug/run it successfully 2.) Output the predictions in a dataframe Notes: 1.) The code already runs but it's easier for me to run it via Jupyter 2.) Important inputs are the dates 2a) Historical data date 2b) Current predictions date. Deadline: 12 hrs Budget: $20
I have an NBA Prediction code in python. Task: 1.) Copy all the python codes to a Jupyter notebook and debug/run it successfully 2.) Output the predictions in a dataframe Notes: 1.) The code already runs but it's easier for me to run it via Jupyter 2.) Important inputs are the dates 2a) Historical data date 2b) Current predictions date. Deadline: 12 hrs Budget: $20
I am looking for a kinematics engineer to assist with motion analysis for a basic level project. The specific aspect of kinematics engineering that I need assistance with is motion analysis. I do not have any specific software preferences for this project. The ideal candidate should have experience with kinematics engineering and be proficient in motion analysis.
I have a large scanned image (2400dpi) jpg from a scanner. I want to have all of the stamps rotated to have vertical sides. No expectation of stamp is upside down or sideways. The crop should have an adjustable border that can be specified in pixels or percentage of stamp width. The software should run on a windows computer or possibly a MATLAB script. Typical starting scan might have 50 stamps.
I am looking for a skilled developer who can write me a Python code quantize an ONNX object detection model (weights and bias) to Int16. There should be some Quantization Frameworks like tensorflow, onnxruntime etc. to convert float32 to int16, but i could not find it. (i only found int8 converter but i need int16 conversion) Ideal skills and experience for this project include: - Proficiency in working with ONNX Yolo object detection models - Experience with quantization processes and techniques - Knowledge of Int16 data type and its implications in machine learning models