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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    Keras CNN install and configure 4 Tage left
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    I am looking for someone to install this source code into my system and show me to run it. It should be a simple one for Sunstone who has worked with Keras and python. I will need to customize a few fields but the source code is available here [Zur Anzeige der URL Anmelden] You just need to install and customize it little

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    please start "i am an expert..." i want to detect age, gender, impressions and actions with high accuracy can you show me demo if it is fine, i will award this task plz help me.

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    Give [Zur Anzeige der URL Anmelden] generates the data set for 10000 curves, using this data set I need code to train the data model using python keras and tensorflow. In order to validate the accuracy for the trained model need a small code shown in slide2, so user can input the value and it should plot actual and predicted curve together.

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    The goal is to build a vehicle recognition system that can be deployed in a small building and at scale perhaps in a congested street. Any framework and API (such as openalpr are fine). Requirement include the ability for the system to capture these vehicles in real time and know the following (make, model, color and license plate), and to store them in some form of database (locally or online)...

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    Looking for someone who can implement Machine Learning algorithms and make decisions and automate the task making it a complete AI. The AI will learn to play game(s). some video examples [Zur Anzeige der URL Anmelden] [Zur Anzeige der URL Anmelden] series (you should watch these and get a handle of how the workflow kind of goes like if you want that is) [Zur Anzeige der URL Anmelden] Just anoth...

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    We are currently developing a web app where we want to keep a good track of goods, by eliminating human error when it comes to measuring liquids. So we've thought of an app where we would scan a bottle, determine the liquid level in it and then store that value into the database for further processing.

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    We're looking for someone to develop a live CCTV Target Tracking solution for us. The target can be a person or an object in real time on a CCTV camera feed. Please message for further questions.

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    I need you to create a machine learning algorithm for use in the medical setups. The algorithms should predict strokes from patients as well as heart attacks and generally heart complications. We plan to use smart bracelets to collect heart information from the patient in real-time. Once the scans have been uploaded, the app should return a report based on that scan and highlight the sections of t...

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    Use this code/article [Zur Anzeige der URL Anmelden] [Zur Anzeige der URL Anmelden] The code works and produces results. 1. I need you to make it work for other model - I will supply data schema. The model can train itself as in article. 2. I need you to teach me how to operate it as to how each part works, how to make new models, train , how indexes are applied to the dataset, etc..

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    NLP using Python 5 Stunden left
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    The basic task is the co-extraction of aspect and opinion terms from the data using python ;angauge . The freelancer should have deep understanding and knowledge of different RNN deep learning algorithms, like LSTM, GRU, Dilated RNN, Independent RNN etc. Should know how to create initial feature vectors using BERT model (It can be done using Flair Embedding). Should have done extensive work using...

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