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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    I want a simple Network that use the Convolutional Neural Network able to do create an High Resolution Image from a Low Resolution Image. Requirements: - Image Reading through [accedi per visualizzare l'URL] library - Model must be use convolutional nn. - Prediction must be use the weights trained from the model builded. - Prediction comparison must be done: between the generated SR imag...

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    I want to make a food app 4 giorni left
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    I want someone who can make some api and already existent software work toghether.

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    I need you to develop some software for me. I need to extract feature of ECG signals and beat classification using Python, tensorflow. with full source code

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    Looking for someone who can help with CNN using tensorflow I have done most of the work but its not complete as its not feature extraction or selection need to complete it need help bugdet: 20$ strict as most of the work is done by me already

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    As title describes. More information will be provided if selected.

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    Hi,,, I am having deep semantic segmentation model and i would to improve the boundary around object by linking my existing semantic segmentation deep learning model with the fully connected conditional random feild. For more details. Please have a look at the attached file.

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    Looking for someone who can help with CNN using tensorflow I have done most of the work but its not complete as its not feature extraction or selection need to complete it need help bugdet: 20$ strict as most of the work is done by me already

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    Company or individual with these skills. Machine learning , Python developer , CNN knowledge ,TensorFlow knowledge . More details in chat.

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    I want a simple NN that Is able to transform a Low Resolution image to high resolution image. The dataset has both type of image, LR, and HR. I'm not interested in very high performance... Instead I need 3 type of NN. 1 By using SCNN approach. 2. By using Variational Autoencoders 3. By using Gan. I will repeat that I'm not interested in very high performance... But what I will se...

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