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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    I have simple project in Tensorflow which reads csv file and predicts it' class values. I want to follow simple steps mentined here - [로그인하시면, URL을 확인하실 수 있습니다.] I am bit occupied so could not do it, you need to complete the steps and help me to run on my machine!

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    Hi, I want minimum of 10 months experienced data scientist for deep learning projects in python 3.6 or 3.7 . The job will be contract and I will contact selected candidates as a task is needed to be done. as for example, I can give you job on after 1 month or 1 week or months or weeks or simply at random times. As a mention, payment rate will be much lesser. if you agree to these conditions, p...

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    I need a programmer who is experienced in implementing CUDA Tensorflow/Keras codes. My current code only uses 10 to 20% of the GPU / CPU. I need the programmer to enhance my current code and create two versions of the code by introducing: 1) Multi Thread CPU Version: Multi Thread CPU execution using Keras/Tensorflow or Pytorch. I expect the coder's version of the code to use 100% of the CP...

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    The mobile app. Shall stream from a wifi camera. Work on multiple people and objects App shall use tensorflow lite to do following ( please note. All details cannot be exposed right now.) 1. Identify objects 2. Identify humans 3. Identify some patterns in the pose. 4. Take actions like alarms RF, and In app notifications. 5. No cloud. 6. AI models and deep learning embedded in the app using. Som...

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    build a tensorflow ssd model for objects detection

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    help in training tensorflow ssd model

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    For a given physical product, we want to be able to predict which component will fail on the product and when. All products have the same attributes, e.g. product code, date of manufacture, quantity of uses, along with history of component names, component failure, component failure severity and component failure date. For the physical product, we also have the component failure history. The da...

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    small object detection project in 3 days

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    I'm trying to run the Python gpt2 project on my pc but I'm getting DLL errors when running the sample. You'll need to remote into my machine and get it running.

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    Crowd density analysis using deep learning where video footages of a crowd is to be analysed using Deep learning tool. We want to have different scenarios such as dense crowds and sparse crowds. The output should be density map fluctuations over the recent images (video-frames) into a number of scenarios.

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    Need PyTorch expert 2 일 left
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    If you have experiences in lane detection, place a bid. You hvae to know well pytorch. I want python code for this project.

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    Attached document outlines the proposed framework for building a cricket prediction model. Looking for an AI / Python developer to support the development of such a model including: · Initial data model design · Working with myself to build out data extraction / cleansing / aggregation · Troubleshooting development and coding the more complex areas of development. Ideal...

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    Hi. freelancers. I have trained mobile-ssdv3 with custom images, i got all pb model. I just want to convert this model into tflite. If you are expert, this will take 5 minues

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    teach me how to build a model and train it in tensorflow

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    Good morning, I recently ordered a people counting algorithm. He referred to the implementation made in CSRNet-pytorch. Unfortunately he did not fully meet my initial requirement. What I need now is to train him from new images so that his accuracy is improved when the crowd is not too dense. I have 65 images with labels and would like some help generating a new training by adding to the dataset t...

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    Tensorflow 커뮤니티 게시글 (최상위)