CIFAR-10 is a dataset that consists of 60000 color images. The dataset is divided into 50000 training images and 10000 testing images. Each image is a 32x32 size, associated with...
TensorFlow 2
Mean squared error (MSE) is a loss function that is used to solve regression problems. MSE is calculated as the average of the squared differences between the actual and predicted...
Multiple linear regression (MLR) is a statistical method that uses two or more independent variables to predict the value of a dependent variable. MLR is like a simple linear regression...
By default, TensorFlow 2 prints debugging information in the terminal. It can be useful if we want to know which CUDA libraries was loaded, GPU compute capability, selected device to...
Simple linear regression is a statistical method that is used to analyze the relationship between two continuous variables:
x - independent variable also known as explanatory or predictor.y - dependent...
The imagededup is a Python package that allows to find exact and near duplicate images in the collection of images. It can be useful to find and remove duplicate images...
Neural style transfer (NST) is a process which adapts the style of one image to another image. NST uses two images: a content image and a style image. Images are...
Netron is an open-source tool which allows visualizing neural network, deep learning and machine learning models. Netron allows analyzing model structure and ensure it matches your expected design. It supports...
YOLO (You Only Look Once) is an object detection algorithm that can be used to detect, classify, and track objects in near real-time. The first research paper about YOLO was...