Here is the list of top 6 paid skills in Information Technology that you should know about.
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.Contratar Tensorflow Developers
Actually I have many csv file with hundred of data rows this is only one example: for each row the first columns are the user input data (in this example I have 4 inputs, in others are less and in others are more) The others columns are the results (in this example I have 12 results, in others are less and in others are more) next colums are data that depend of firsts inputs something like t...
Our company has lots of tasks that should be done by tensorflow. Something like detection modules(Detecting phone, body, smoke, cigarette, car, person ...). You must have skills in tensorflow pb (or tflite) file generation, modification, merging. Only tensorflow experts please. This position is actively opened for any tensorflow expert. Please write roughly what tensorflow is at the beginning of ...
I have created a Unet colorization autoencoder. The color space that I work on is Ciel Lab. The network accepts the luminance channel and predicts the a and b channel. In the so far created model, I would like to add some custom loss and metrics. The custom loss is the Perceptual loss and metric is the PSNR to be applied. I am looking for a customization in an existing model.
I am having the dataset in the form of both .h5 and .tflite which are deep learning models, Hence I need to integrate and come up with a front end application from where the user can give input so that the model will predict.
Hello. I need CCTV android app with onvif support, rtsp player, video recording and more Please contact me directly for details
I need an experienced developer in Tensorflow and Docker that is willing to go the extra mile in this task, for someone with good experience this should be a simple task. I am working with a library that would serve a trained model with data and return the result, but the model should be wrapped in a docker image, the model should a CSV file of people with their details as input and predict if th...
Im looking for someone to write me a machine learning script in Tensor Flow that takes in data from soundcloud, spotify and youtube (data such as likes, views and listens) and predicts the artists popularity trajectory for an app I am building.