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
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As a client, I am looking for someone who can help me set up and configure a 2-GPU (RTX3090) workstation with NVLink to execute machine learning algorithms. Specifically, I need the setup to be done using Windows operating system in 64 bit and with auxiliary tools installed, which include Anaconda, Tensorflow and PyTorch. I expect the chosen freelancer to have experience and knowledge regarding the technologies and components involved in setting up the workstation including NVLink, GPUs, the OS and any necessary installation steps (e.g. CUDA and CUDnn libraries). The freelancer should provide a solid foundation for downstream workflow, ensuring the system and all components are stable and usable. A test environment (code) will be provided by me. The project will be Goal will be completed ...
I need to train a model to recognize different players' card playing information and the number of players in poker games. The main function is to analyze the required information by capturing screenshots of the poker game TensorFlow Lite can be used. This model will be placed on a mobile phone in the future for iOS and Android apps to call.
I am looking for a freelancer who can create and train a deep learning model for Full Page Handwriting Recognition . The ideal candidate should have experience in the following: - Deep Learning Model Creation and Training - Image Recognition and Natural Language Processing - Working with both image and text data - Using TensorFlow as the preferred deep learning framework - Transfer Learning - The model will be trained on dataset with Hindi and Bengali Handwriting. The project will involve the following tasks: - Creating a deep learning model using TensorFlow for Full Page Handwriting Recognition - Collecting and preparing both image and text data for training the model - Training the model using the prepared data - Testing and evaluating the model's accuracy and performance The ca...
Step 1: pre-processing - You need to preprocess the train and test data given in the github repo. - make sure at the end you get text and label in the data - after this combined the data (train + test). This is final dataset which will be used for experimentation Step 2: Preparing data for experimentation - divide the data into 5 folds having random_state = 1 - these five folds will go into models Step 3: Training Baselines - Train 3 machine learning model (Naive Bayes, Logistic Regression, SVM) and evaluate on 5 folds - Train 3 deep learning model (DNN, CNN, LSTM) and can use any word embeddings which you feel would work. - Train 3 BERT models for text classification (BERT, RoBERTa, DistilRoberta), for this you can use "simple transformers" library Step 4: Reporting Results ...
Looking for someone to build an ai tool that can be used offline, e.g. TensorFlow or similar to remove the background of a video and superimpose another video in the background. Needs to run on Python 3.11. The budget is $15. I have no issue using online projects as long as it works and is accurate and doesn't look pixelated.
dataset to be taken from kaggle, I have the code written in tensorflow but it has several errors that needs to be resolved in addition to I also want the architecture model with novelty and compare its accuracy with other models The main architecture model should have an accuracy >94% . The work needs to be completed within 4-5 days.
We are seeking a skilled and innovative AI App Developer to join our team. As an AI App Developer, you will play a crucial role in developing an exciting AI-powered application that generates art based on room images' color and material schemes. Successful Candidate will guaranteed get a 5 stars rating! Responsibilities: • Collaborate with the development team to design and implement an AI-powered app for art generation. • Utilize ChatGPT and other AI models to assist in the creation of an interactive and intuitive user experience. • Work on the image processing component, extracting color and material information from room images. • Research and implement cutting-edge computer vision techniques for accurate color and material detection. • Integrate the AI mo...