TensorFlow is an open-source, python-friendly library used for high-performance numerical computation that makes machine learning easier and faster. It replaced “DistBelief,” its closed-source predecessor.
TensorFlow has a flexible architecture which enables an easy deployment of numerical computation across several platforms – TPUs, GPUs, CPUs; from desktops to collections of servers to edge and mobile devices.
It was initially created by engineers and researchers from the Google Brain team for both research and production. It comes with a strong support for deep learning and machine learning for dataflow programming across varieties of tasks.
When it comes to the application of TensorFlow, it is being used by social media companies for photo tagging; image analysis for microscopy; retail stores use it for object detection during checkout; space exploration, automotive, aviation, and healthcare also use it for image and object recognition.На основании 15,142 отзывов клиентов, рейтинг Tensorflow Developers составляет 4.78 из 5 звездочек.
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I need a face swap script which do very good face-swaps both on videos and images. We are not interested in free face-swap script like simswap script. If you have your own script, we would like to check it and if that is good we would like to buy it. Money is not an issue if the quality of the face swaps results are good. Thanks for your attention, Thomas
Hi I've had an AI program built that detects solar panels on a home. The model is already trained and I have all the source code for it. I am looking for someone to add in parallel calculation logic and then upload onto AWS server for me. The GPU server is expensive so when I need access to the program I am looking for someone to upload it to the server and stop it when I am not using it.
Objective: Build an RLHF(Reinforcement Learning from Human Feedback) model to shortlist resumes. The flow: - The front end sends a list of ingested resumes to the backend. (in pdf/docx/url). - Preprocess the data. - Pass the content to the model and generate an initial recommendation based on a model built with transfer learning(BERT or Roberta). - Ask for feedback and retrain the model, and make optimization so we don’t have to retrain the entire model every time(Save weights).
Create a Python script that uses Keras LSTM model with multiple layers and a dataset (CSV file contaning over 2560 previous draws - 6 numbers per line separated by comma) to train and try to predict the next 6 numbers. This is a very simple project and many examples already exist. Sample dataset: 1,20,15,34,20 7,11,25,42,53 ... Samples: (must be modified to similar game that uses 6 numbers of 60).
We are working on building a photo gallery app for photographers, where we need to offer a face filter per album which can be used to filter the photos based on the faces available in the photos. We need to perform face detection and matching a face in the collection of the faces. Looking to get this face detection and recognition system being developed as per the spec required. IMPORTANT * Must have relevant experience with face recognition tech. Share what you did along with demo or link to review. * Face matching accuracy of 99% is needed. * Share what you understand by reading our requirement along with your idea of implementation - tech you will use - platform - basic flow. * It has to be very performant where we can process upto 40000 requests per hour. * Pls write "FACERCG...
buiild a user suggetion and predictive model for my exam app...