In this tutorial. we will try to make a Driver Drowsiness Detection model with OpenCV and Keras in Python. For this particular model, we will try to detect whether the eyes of the .... Read More
In this section, we are going to look at various reasons for applying Keras flattening operation on CNN with Python. CNN involves working with images. Therefore, we will also look .... Read More
RandomForest is a collection of Decision Trees. In other words, Decision Trees can be said as the basic unit for Random Forests. To understand RandomForest, we need to understand D.... Read More
Hello learners, today in this tutorial we will learn about installing the TensorFlow deep learning Python library with GPU support. To do so you must first have the latest version .... Read More
In this article, we will learn to train an object detection model in Keras using Mask RCNN. Object detection task is a difficult and important computer vision task but I will guide.... Read More
In this tutorial, we will learn about forecasting the prices of a Cryptocurrency with LSTM with the help of Machine Learning implemented in Python. Cryptocurrency prediction has .... Read More
Hello learners, today we are going to learn a very interesting topic that is: Dropout Neural Networks. We all know that Neural Networks are notorious for over-fitting the data. Neu.... Read More
CIFAR-10 dataset is a collection of images used for object recognition and image classification. CIFAR stands for the Canadian Institute for Advanced Research. There are 60,000 ima.... Read More
In this tutorial, we will learn about one of the arguments of fit-generator namely shuffle using Keras API od TensorFlow. Before starting a discussion on shuffle, Let’s first.... Read More
In this tutorial, We will learn about FaceNet and how to implement it using Python. FaceNet learns a model neural network that encodes a face into vector embedding. These encodings.... Read More