## Calculate Mean Squared Logarithmic Error using TensorFlow 2

Mean squared logarithmic error (MSLE) is a loss function that is used to solve regression problems. MSLE is calculated as the average of the squared differences between the log-transformed actual…

## Binary Classification using TensorFlow 2

Binary classification is the process that is used to classify data points into one of two classes. For example, whether a customer will buy a product or not, emails are…

Degrees and radians are two commonly used units of measurement for angles. Programming languages provides methods how to convert radians to degrees. A table includes a links to posts with…

Degrees and radians are two commonly used units of measurement for angles. Programming languages provides methods how to convert degrees to radians. A table includes a links to posts with…

## Convert Octal String to Decimal Number

A octal number system is a numeral system with 8 as the base. It uses 8 digits: the numbers from 0 to 7. Programming languages provides various methods how to…

## Convert Decimal Number to Octal String

A octal number system is a numeral system with 8 as the base. It uses 8 digits: the numbers from 0 to 7. Programming languages provides various methods how to…

## Detect and Decode QR Code in Image using OpenCV and Python

QR code is a two-dimensional barcode which stores encoded data. It can be a website URL, contact details, location coordinates, email address, plain text, etc. QR code can store more…

## Calculate Mean Absolute Error using TensorFlow 2

Mean absolute error (MAE) is a loss function that is used to solve regression problems. MAE is calculated as the average of the absolute differences between the actual and predicted…

## Classify CIFAR-10 Images using CNN and TensorFlow 2

CIFAR-10 is a dataset that consists of 60000 colour images. The dataset is divided into 50000 training images and 10000 testing images. Each image is a 32x32 size, associated with…

## Calculate Mean Squared Error using 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…