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 with keras 6 gün left
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    I want someone to help me with basic of keras. I have an ​environment which is set and ready with database. All i am looking is for a 30 min *Removed by Admin*

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    Keras CNN image classifier 6 gün left
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    I need someone to build a simple keras backed image classifier. I have a set of images that will be provided and the data is categorized into 12 categories. To prove that you know what you are doing, you will have to share the accuracy of your model before you are hired. Anything above 70% will suffice for a hire.

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    we need python hacker to optimise our current codebase, make it faster and develop integration with tensor-flow or similar. it is best if you are available part time - preferably 4 hours a day or maybe 3 full days a week. no agents, companies, etc, we want to work with you, dear programmer, directly and want you to be part of our distributed team.

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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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    BIGAN is a GAN that uses an auto-encoder as the discriminator. with a simple yet robust architecture, standard training procedure with fast and stable convergence. In this work, we propose a hierarchical BIGANs architecture, because GAN has a perceptual loss function (THE DISCRIMINATOR). The discriminator itself has binary cross entropy as its loss function. Which cannot take perceptual informat...

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    Ai per la risoluzione di compiti quali per esempio matematica (espressioni varie etc), inglese (grammatica etc), italiano, fisica, chimica. La potenza di calcolo non é un problema ho solo bisogno del software ben ottimizzato e pronto all'uso nella maniera più semplice possibile. Per quanto riguarda le materie, piú ne riesce a svolgere meglio é. Grazie.

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    Text Summarisation using Rust and Tensorflow

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    Hi i have model (Json) which created using python . i want to use that model and predict output in frontend using Tensorflow Js.

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    This project contains two modules, one is training set of images and second one is predict 1. Training: program should take set of images to train with one label, and if i give more images in future, i should able to retrain with new set of images on top of old model of same label. Ex: i trained 10 cat images first time, in future, i should able to train 5 more cat images on top of Cat model, (N...

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    Önde Gelen Tensorflow Topluluk Makaleleri