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.Hire Tensorflow Developers
We would like to select a consultant expert in AI and object detection using tensorflow and Openvino for the optimization of performance running inference. We would like to start with few hours of consultancy and after that we could start colaborating with bigger projects.
I need a solution using MediaPipe Selfie Segmentation: - Work with Browser iOS and Android - you need to add an image below (background) and some images above the person - button to take screenshot and save on local Please see the demo result image
I want a system that can detect if a motorcycle driver is wearing a helmet or not and if he is not wearing one, I want the snapshot of the number plate.
Classification of hyperspectral images with graph convolutional network
Need someone to help us run the following github repository Note: we need it done by 23/06/2022 morning
Hi, We are looking for an Experienced Ai developer with experience on object detection, classification and count. Currently we are trying to classify road traffic, so you have to have good experience on vehicle traffic classification and detection. Good experience on tensorflow and rasberryPi is must. Lets chat for better understanding of the requirements. Thanks
Development of bespoke / custom deep-learning-based AI solutions for computer vision applications operating on iot edge device (smart cameras, satellites, home security, logistics, transportation, etc.). Pytorch, TFLite, deep learning, object detection, classification, segmentation, non-standard custom models.
There is a code written by TensorFlow 1. I want to convert the code into TensorFlow 2. The new code should be: 1. as fast as the original code 2. be like it is genuinely written in Tensorflow 2 and not only TensorFlow 2 compatible. This is the original code:
MNSIT veriseti ile hazır bulunan GAN Modeli sonucunda üretilmiş olan rakamların sınıflandırma işlemi yapılacak. Sonuç olarak ekranda 9 tane görüntü gösterilecek ve bu görüntülerden iki tanesi aynı olacak.