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.

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    AI: [로그인하시면, URL을 확인하실 수 있습니다.] One that is knowledgeable in AI, python, ubuntu, machine learning. Which model is the best for training on graphic cards, that works on a mini, large, huge datasets? Looking for sample texts, say a couple wikipedia pages, or sample paragraph of texts, that can train on, and output similar text. Train on wikipedia, output wikipedia text. Setup a few, and guide t...

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    You have to generate images or synthesis images by giving input dataset. I have the dataset i will provide it to you . You have to use GAN network and use this dataset to generate images which will be same like the input images. price is fixed 40 $. Only bid if you used GAN network before.

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    Need an expert in TensorFlow, Deep Learning and Image processing

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    We are looking for someone who is well versed with Python, Tensorflow, SSD Mobilenet stacksets and could handle capturing Video streams from IP Cameras(1 or many) and perform Analytics with a scale-able architecture

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    Hi, I am looking for software for IP camera detail is attached Required files from lancer 1. Project – working executable file 2. full source code full payment will be done after successful demo complete work done

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    i am working on deep reinforcement learning. i am stuck with continuous state space value how to handle continuous state value by using quantization for energy efficiency and spectral efficiency. I have created my code initially for power saving by using three Q-learning (dqn, double and dueling) algorithm. Now i have already optimized power and throughput. But i am confused where and how to solve...

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    The algorithm should be developed using actor critic advantage method using TensorFlow.

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    Hello. I am developing a card detection App now. I have some trouble to detect edge of card though I use good opencv module. So I am going to use tensorflow lite model. If you have a good experience in DL frameworks and you can finish this project in 2~3 days, please bid to my job. I attached some sample images. Your module must detect cards from these images. Thank you.

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    Hello. I am developing a ID card detection App now. I have some trouble to detect edge of ID card though I use good opencv module. So I am going to use tensorflow lite model. If you have a good experience in DL frameworks and you can finish this project in 2~3 days, please bid to my job. I attached some sample images. Your module must detect ID cards from these images. Thank you.

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    Custom CNN model 4 일 left
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    We require a dedicated full-time deep learning specialist to create a custom CNN model for our 1 million+ image database. We’re looking to create a custom CNN model. Think more along the lines of a custom recommendation system rather than simple object identification. This project will be very custom, this is not a standard object identification model. We’re looking to have this pro...

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    I have some ML code from different repos: I need for you to bring it into one format: 1. my run of it must be python [로그인하시면, URL을 확인하실 수 있습니다.] <stock name> 2. update all dependencies and train the model on last 3 years of data(excluding the 200 last days) 3. run the validation on last 200 days and output it to csv in format Date;Real price;Predicted price and print last line to console Bud...

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    Actually I have many csv file with hundred of data rows this is only one example: for each row the first columns are the user input data (in this example I have 4 inputs, in others are less and in others are more) The others columns are the results (in this example I have 12 results, in others are less and in others are more) next colums are data that depend of firsts inputs something like t...

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    Our company has lots of tasks that should be done by tensorflow. Something like detection modules(Detecting phone, body, smoke, cigarette, car, person ...). You must have skills in tensorflow pb (or tflite) file generation, modification, merging. Only tensorflow experts please. This position is actively opened for any tensorflow expert. Please write roughly what tensorflow is at the beginning of ...

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    I have created a Unet colorization autoencoder. The color space that I work on is Ciel Lab. The network accepts the luminance channel and predicts the a and b channel. In the so far created model, I would like to add some custom loss and metrics. The custom loss is the Perceptual loss and metric is the PSNR to be applied. I am looking for a customization in an existing model.

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    I am having the dataset in the form of both .h5 and .tflite which are deep learning models, Hence I need to integrate and come up with a front end application from where the user can give input so that the model will predict.

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    the job of my project is to detect the gloves mask and goggles of a person. who is is entering into a room. it is basically a Machine learning model of AI Transformation

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    You need to build a model using opencv. please check problem definition for more details.

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    Hello. I need CCTV android app with onvif support, rtsp player, video recording and more Please contact me directly for details

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    Deteccion de objetos 8 시간 left
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    It is necessary to carry out the recognition of the attached figure. The program must recognize the green points of the figure, have a high recognition precision. Must be done in c #

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    Hello , I need the python tensorflow expert for my job details will be shared with selected freelancer

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