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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    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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    I have an XML file containing the points of some Curves or Graphs together with the bounding box of the whole frame. I need a Python script which is converting this information in an actual vector png image.

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    I've a huge database of text which contains errors and I've the correct set of data too associated with it. I want an algorithm which trains itself and learns to correct mistakes.

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    Improving an already existing machine learning project by possibly adding a new neural network algorithm . It is object recognition based and mainly uses tensorflow.

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