There are two major problems when training neural networks: overfitting and underfitting. Overfitting is a problem that can occur when the model is too sensitive to the training data. The model will then fail to generalize and perform well on new data...

Training a deep neural network can take hours or even days to complete. It is not practical to train such a neural network every time you want to make predictions. In this case, you can save and then later reload your model.

There are so many books out there that it can be hard to find the right book for you. Below I'll give you my selections for the best 10 Python books for beginners and advanced programmers.

In this tutorial, we are going to see how to detect edges and contours on an image. Edge detection is a fundamental task in computer vision. It can be defined as the task of finding boundaries between regions that have different properties.

In this tutorial, we will see how to rotate images with OpenCV using some built-in functions. The first one is cv2.getRotationMatrix2D which, as its name suggests, will give us the transformation matrix that we will use to rotate the image ...

There are so many courses out there that it can be hard to find the best courses. Below I'll give you my selections for the best 7 ML courses for beginners and advanced.

In this tutorial, you will learn how to use OpenCV and the EasyOCR package to automatically perform license/number plates recognition.

In this tutorial, we will see how to use OpenCV Haar Cascades to detect license/number plates.