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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    -Help to label phonemes from Grid corpus dataset, [logg inn for å se URL] -process video, audios from the dataset

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    TRACK-P: Package for occupant trajectory characterization and analysis Quantitative characterization of the trajectories of moving occupants inside buildings is a crucial component of many occupant and behavioral studies, however methods are complicated and varied, and sometimes require well-developed programming skills to implement. Here, we introduce TRACK-P, a python library with modules and pa...

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    E-commerce web API design in recommended suggest product by using ML and AI. code project downloaded from open source project same as Amazon store

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    Data Scientist Responsibilities include: ·      Undertaking data collection, preprocessing and analysis ·      Building models to address business problems ·      Presenting information using data visualization techniques Job brief We are looking for a Data Scientist to analyze large...

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    So, I have a AKS cluster with Kubeflow installed. Need to run the following: [logg inn for å se URL]

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    i have a saved model and i want to convert it to .tflite file

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    Hello, all. I am developing an iOS, Android, WatchOS app for transaltion. first of all, I have a Tensorflow model and I want to convert it to CoreML and/or Tensorflow-Lite, so I can run it on iOS, Android, WatchOS app. I also want to quantize the model from float32->int8. After this, there are a lot of stuff to do like integration the model into iOS, Android, WatchOS app, and other things as we...

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    We are conducting a programmability evaluation for a software engineering team that developed new libraries with the intention of making it easier to write high performance code. We need test users to implement and optimize algorithms using one of these newly developed libraries. Each algorithm has a "correctness check" that will tell whether an implementation is producing the expected ...

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