Tensorflow Jobs
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
At Freelancer.com, there's a team of dedicated TensorFlow developers available to help your project be an undeniable success. Whether it be building Android apps with TFLite models or solving complex machine learning problems, our consortium of expert professionals can help your project flourish. Don’t let your project slip through your fingers – bring it alive with Freelancer.com and our incredible TensorFlow developers today!
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I'm looking for a skillful developer to create a text recognition ( English language) algorithm that can be implemented on Raspberry Pi 4B. The main objective is to develop a system capable of accurately extracting text from natural scene images. Accuracy is essential, with the expected range standing between 88% and 95%. Key Requirements: - Understand the principles of text recognition, and possess the skills in developing a feasible and efficient solution. - Must be capable of programming in Python or similar languages – necessary for integrating the algorithm with Raspberry Pi 4B. - Familiarity with image processing and Raspberry Pi is highly beneficial, though not strictly compulsory. - The algorithm should be versatile enough to function accurately in varying lighting cond...
# Project Summary: Short Video Recommendation TensorFlow Lite Model # Objective: Create a TensorFlow Lite model for short video recommendations in a Flutter app, using Firebase Firestore as the database and Firebase ML for deployment. # Requirements:* 1. Recommend videos based on user's liked videos, excluding watched videos. 2. Include popular content to prevent user from getting stuck on the same topic. 3. Use Firebase Firestore to store video data and user interactions. # Workflow: 1. Fetch video data and user interactions from Firestore. 2. Calculate similarity scores between liked videos and remaining videos. 3. Include popular content in recommendations. 4. Train and deploy the model using Firebase ML. # Deliverables: 1. TensorFlow Lite model for video recommendations. 2. In...
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