When approaching a problem using Machine Learning or Deep Learning, researchers often face a necessity of model tuning because the chosen method usually depends on various hyperparameters and used ...
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Getting Started with OpenCV CUDA Module
If you have been working with OpenCV for some time, you should have noticed that in most scenarios OpenCV utilizes CPU, which doesn't always guarantee you the desired performance. To tackle this ...
Training a Custom Object Detector with DLIB & Making Gesture Controlled Applications
In this article, you will learn how to build python-based gesture-controlled applications using AI. We will guide you all the way with step-by-step instructions. I'm sure you will have loads of fun ...
How To Run Inference Using TensorRT C++ API
In this post, we continue to consider how to speed up inference quickly and painlessly if we already have a trained model in PyTorch. In the previous post We discussed what ONNX and TensorRT are ...
PyTorch to CoreML model conversion
Neural network usage usually takes a lot of computations, but in our modern world, even a smartphone can be a device to run your trained neural model. Today we will take a look at how we can convert a ...
Playing Rock, Paper, Scissors with AI
Let’s play rock, paper scissors.You think of your move and I’ll make mine below this line in 1...2…and 3. I choose ROCK. Well? ...who won. It doesn't matter cause you probably glanced at the ...