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.Embaucher des Tensorflow Developers
Hello. I am developing a ID card detection App now. I have some trouble to detect edge of ID card though I use good opencv module. So I am going to use tensorflow lite model. If you have a good experience in DL frameworks and you can finish this project in 2~3 days, please bid to my job. I attached some sample images. Your module must detect ID cards from these images. Thank you.
We require a dedicated full-time deep learning specialist to create a custom CNN model for our 1 million+ image database. We’re looking to create a custom CNN model. Think more along the lines of a custom recommendation system rather than simple object identification. This project will be very custom, this is not a standard object identification model. We’re looking to have this pro...
I have some ML code from different repos: I need for you to bring it into one format: 1. my run of it must be python [se connecter pour voir l'URL] <stock name> 2. update all dependencies and train the model on last 3 years of data(excluding the 200 last days) 3. run the validation on last 200 days and output it to csv in format Date;Real price;Predicted price and print last line to con...
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.
the job of my project is to detect the gloves mask and goggles of a person. who is is entering into a room. it is basically a Machine learning model of AI Transformation
Hello. I need CCTV android app with onvif support, rtsp player, video recording and more Please contact me directly for details
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.