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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    compiling tensor flow lite with clang compiler need changes in c++ / C code

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    My company is looking for a artificial intelligence/machine learning expert. Please share your CV if you want to be considered for this position, in other case, your bid will be ignored.

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    I need the program that will detect if the seat is empty or not and send a message over TCP. It should work on Raspberry Pi 3B+. We will place it on the bus and it will send a message after detection.

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    Object Detecting System 5 dní left
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    You need to assist me step by step in helping me complete a vegetables detecting system on Raspberry Pi 4. Libraries use: Tensorflow/Yolo OpenCV Tasks: 1. One complete vegetables detecting system. 2. Train a custom set of vegetables model 3. Operate in Raspberry Pi 4

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    The traffic sign detection and classification using deep neural networks with the latest state of the art [pro zobrazení URL se přihlaste] like GTSRB or Lisa. The model must reference from any latest standard research paper. The model should be trained and tested for datasets. The results should have a working model, demo, performance metrics for detection, and classification. Programming l...

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    I have CNN code and I have good experience in using it. I want to do hyperparameters tuning by doing: 1- Grid search method 2- random search method 3- BO search method I want a "tutor" to "teach me" and "explain to me" how to do it. I do not want any new code. I want to improve my code. NOTE: I did the code of these methods but I have some problems in finding the re...

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    Eyes-detection In a face Image 4 dní left
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    our objective is to create a micro-service for eyes detection. The functionality we need is as follows. 1.) the system should be able to detect eyes in a face image from front, side facing (45 degrees and 90 degrees) images as input. 2.) the output should be same image but the eyes should be covered by a black patch. 3.) the system should be created using any library on your choice, opencv, pillow...

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    I have several Python models I would like to convert to run with Onnx so I can directly call them from C# to do inference

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    Hi, For some research work, what I need is A's face swapped on B guy (model from instagram), using deepfake - Scrap all the pictures with face of model guy from instagram (best quality), about 100-300. - Extract face from guy A, I will send you 10-15 minute worth of dslr video shoot of guy making all poses and all possible facial expressions and angles. - Run model to put matching facial ex...

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    personal training on Tensorflow and sagemaker

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    The IP cameras will be installed outdoor and connected through 4G mobile data. The operation model should be designed such that the monthly bandwidth used by each camera shall not be exceedingly large. The system should be able run more than 100 such cameras simultaneously. It should be able to automatically detect live suspected incidents of illegal disposal of wastes on the street/road/designate...

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    Our company is in need of a Software Engineer with NLP experience to develop a model that extracts text from a transcribed document and parses data into specific categories for clinical data capture and transfer. NLP experience is required. ASR experience preferred. Bio1 Systems develops innovative communication platforms to enable life-saving data capture and transfer for civilian and milit...

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