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 am looking for someone help me in train U-net model with large data set and save the trained model weights and use it to pre train the model on my own data. I need the help in find dataset and then help me to train the model.

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    Anti-cheating Video Analysis 6 dni left
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    Hi there! We need to develop a video analysis python component for cheating detection. The algorithm will analyze webcam videos of people completing online forms. The python script will detect suspicious patterns of cheating in videos. For example (not limited to): - Keep the gaze out of the laptop screen - More people in front of the laptop - Talking to other people - Looking phone - Other patt...

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    TensorFlow 2.4 models (classification, object detection) should be used with Visual Studio 2019 C++ 32 bit with static linking. Object detection model is saved as a "saved model" (Tensorflow Object detection API, [zaloguj się, aby wyświetlić URL] ). Classification model is saved as *.h5 file. Samples: Object Detection Sample: [zaloguj się, aby wyświetlić URL] Classification: [zaloguj ...

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    3 hierarchical neural networks design for, mode detection, fault classification, fault severity classification

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    The ML model can be developed in any language It should use Azure functions, the data will be stored in Azure Blob Make it possible for me to schedule when the data has to be trained Like Udemy and Coursera, we need to build a course recommendation not based on ratings of the course, but based on the user profile user's profile will include the department they work in. for a first-t...

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    I will share more details in the personal conversation, please send me message.

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    Want to train AI model from available images for detection of pneumonia, cervical cancer, breast cancer .

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    I want some model, trainable model, pretrained model or something capable of remove a single watermark from several images. Watermark never changes, only the images. Can be performed with tensorflow, pytorch or some tool. The final objective is : From a folder of images , remove the watermark and store the images inside the output folder. Regards

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    object detection - python 3 dni left
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    I need a python script that can detect the object length for more information see the following doc [zaloguj się, aby wyświetlić URL] thanks

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    object detection 3 dni left
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    I need a python script that can detect the object length for more information see the following doc [zaloguj się, aby wyświetlić URL] thanks

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    We have four relatively standard TensorFlow / TensorFlow Lite models that we wish to port to CoreML and then integrate into a Flutter app. The models should run using accelerators on recent iPhones and provide good performance. The models are: MobileNetEdgeTPU, MobileDET SSD, DeepLabV3 (mobilenetv2 backdone), and MobileBERT. For tooling, we extensively use GitHub, Discord, and Google groups/driv...

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    ML code Tensorflow 1.4 to 2.0+ 2 dni left
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    A machine learning or AI expert needed to build, run and update classifier ML learning code. CNN, LSTM, Mask-RCNN

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    I have u-net model for image segmentation, I need to pre train it on known segmented dataset and then Train it on my data.

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    Hello. Machine learning guys. I need to make a software ALTR from rtsp video real time capturing. Please check uploaded video , so the result should work like that. I hope to choose best freelancer.

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    We have four relatively standard TensorFlow / TensorFlow Lite models that we wish to port to CoreML and then integrate into a Flutter app. The models should run using accelerators on recent iPhones and provide good performance. The models are: MobileNetEdgeTPU, MobileDET SSD, DeepLabV3 (mobilenetv2 backdone), and MobileBERT. For tooling, we extensively use GitHub, Discord, and Google groups/driv...

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    An IP based camera will be streaming video the AI engine should receive the frames and should identify the patterns or object. like identification of small insects , or fungus , etc. Once identified the engine should store the relevant details like type of pattern, time stamp, measurement of patterns. matching probability, etc. Should be compliant with Security Issues

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    I am trying to build a model to predict which team will more likely be champion next World Cup.

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    I need some to build Tensorflow source and generate Dlls for CPU & GPU, Tensorflow Lite & CC. I also need samples codes for using Tensorlfow Lite & CC dlls.

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