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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.Ansæt Tensorflow Developers
Request details Have a quarterly time series dataset from 2012 to 2018 with around 40 variables. Need to formulate an LSTM model in order to forecast cashflow Deliverables LSTM Model
Hello I am trying to train the model on a couple hundred megabytes of fine-tuning data using v3-8 tpus on Google Cloud. I got some error RuntimeError: Internal: Replica group has size 8, but all replica groups in an all-to-all with N operands must have size N: I need expert's help Thanks
Use both models(posenet and yoga) and show if the user is doing good. It must have a login and signup screen, and should allow the user to pick between diferent poses by their ability, begginer, intermediate and expert.
Need to replicate the project given in the below medium blog and create a project report and presentation. [log ind for at se URL] Code is already available and the only required change is the UI part. It should be coded in Flask or Django.
We are using one OpenSource Libraries for Face Recognisation using Tensorflow and Facenet. Currently in Android it storing data in List and gets cleared once App is closed. How we can save the Face Object to Local Android Storage So we can reuse the data