Tensorflow is an open-source library for numerical computation developed by Google that provides tools for dataflow programming and machine learning. It helps give users the ability to create deep learning models with greater ease, enabling new levels of development productivity, research, and discovery. TensorFlow achieves this through the use of dataflow graphs which allow the user to construct models at a much higher level. By relying on the predictive power of data and machine learning methods, a TensorFlow developer can empower a client to help design more efficient AI-driven algorithms, provide more accurate predictions and automated interactions with their customers, draw insights from vast amounts of structured and unstructured data, build more personalized experiences for their users, and much more.
Here's some projects that our expert Tensorflow Developer made real:
- Programming state-of-the-art deep learning algorithms for computer vision tasks
- Utilizing data analytics to deliver valuable insights from datasets
- Applying convolutional neural networks for image classification problems
- Creating efficient graph neural networks to approximate functions
- Implementing Machine Learning models to caption images or detect similarities between sentences
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Thuê Tensorflow Developers
I need to preprocess the given dataset and implement a CNN model using tensorflow and a Transformer model using pytorch. The models need to have good accuracy forecasting the meal carbohydrates using glucose level values.
Développement d'applications mobiles : Expérience avérée dans le développement d'applications Android et iOS. Maîtrise des langages de programmation courants pour le développement mobile, comme Kotlin (pour Android) et Swift (pour iOS). Expérience en développement multiplateforme : Connaissance de frameworks multiplateformes tels que Flutter, React Native ou Xamarin, ce qui permet de développer une application pour Android et iOS à partir d'une seule base de code. Intelligence Artificielle (IA) : Compétence dans l'intégration de l'IA, y compris la gestion de données, l'apprentissage automatique, et la création de modèles prédictifs. Utilisat...
We are using SD + Automatic1111 in a new project, and, we have a technical challenge to solve. If you are an Stable Diffusion expert, we would be delighted if you apply to this proyect!
I am looking for a developer who can implement AI for golf strategy using and node.js. The desired outcome of this project is to improve the golf strategy using AI. The level of complexity for the AI strategy should be intermediate. The programming languages to be used are and node.js, and there are no specific requirements for other languages. The project: This is my 2D gold game (linked in the zip below) I want YOU to update my game's front-end and back-end to use Reinforcement learning to learn how to play gold as if it was a human. The way I want you to reward the AI: It gets 3 shots (max per gen) at the hole, they all start in the same spot, and the hole is randomly placed on the field/gold course (make it bigger) and add obstacles to the ai). The closest one to the hole is t...
I need help with machine learning, MAking a ML model, and integrating the ML model with the robot arm.
Project Description: ANPR System for Traffic Monitoring in Mixed (Urban and Highway) Environments 1. Velocity Monitoring ( Speed Limit ) 2. Object Detection ( helmet ) Plate Recognition to capture an image of vehicles with no number plates or unrecognised numbers in a separate folder UI needs to be modern and searchable Later the project will be expanded with more plugins Our company is seeking a skilled freelancer to develop an Automatic Number Plate Recognition (ANPR) system specifically for traffic monitoring purposes. The ideal candidate should have experience in computer vision and image processing, with a focus on real-time processing capabilities. Purpose: - The ANPR system will be used primarily for traffic monitoring in mixed environments, including urban areas and highwa...