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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    Hi, I am attaching my datafile below. I require to achieve the following results - 1. Identify the topics in column B and D (Each topic is defined by the fuzz.partial_ratio being greater than 70 among the strings). Identify the keyword around which the string is classified into the topic 2. Arrive at counts and percentages of the topics

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    Hello, Weekend project, as I need to add a method to a image logo comparison script. The Hausdorff Distance. Project is in python, will provide the script, need this acomplished the weekend. Thanks in advance.

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    OCR EXPERT NEEDED 5 zile left
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    I'm looking to hire an OCR EXPERT. *****Include the platforms you've worked with in your bid....................

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    We need a TensorFlow Op that will extract internal JPEG data

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    i am looking for ml programmer with experienced in research of 3-5yrs of experience in both, published papers in reputed journals or ugc approved journals atleast 10,12 papers in ai,ml,dl domain must work on interesed project implement code work as soon as possible and help in research paper writing

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    Hi I have a numeric dataset (not images) for apply deep learning classification. Dataset has 3 class but these are imbalanced sizes. For example class 1:200 , class 2:3200 , class 3:190 labels. I'm trying to train it in Keras or Tensorflow for classification. At the result; All prediction are collected in Class 2: So i searched the problem in internet and i found that i must define an weigh...

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    We need to develop and algorithm to detect, track and count livestock (pigs) on logistic process that take place on meat supply chain, using live video feeds. The goal is to assure that the correct number of animals was moved to a certain area or boarded into a truck. This application need to use edge processing techniques, as it need to work even without internet connectivity. Also, it needs to...

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    Hello freelancers, We are working on a project that deals with following javascript technologies: - Latest chrome beta features like: OffscreenCanvas, Workers, etc.. - JS Modules ( native ) - [conectează-te pentru a consulta linkul URL] - HTML5 Video Basics are required. Advanced js tech can be learned along the way. You will be working on partially developed scripts that require new features ...

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    Hiện tại, tôi có 2 app có sẵn đang hoạt động: - 1 app nhận diện đối tượng - 1 app hiển thị đối tượng 3D lên màn hình có sử dụng ARCore Tôi muốn ghép hai app này lại, để sau khi nhận diện được đối tượng thì sẽ hiển thị luôn lên ảnh 3D của đối tượng đó tạo thành một luồng.

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    GAN Analysis 5 ore left
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    Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture the low-level pixel statistics, and hence the g...

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