If you're starting to work with deep learning and using TensorFlow as your framework of choice, it can be useful to know of the available GPU devices on your system...
TensorFlow 2
Obtaining TensorFlow build information can be helpful for several reasons. It helps identify compatibility issues, ensuring that your code works seamlessly across different TensorFlow versions. The build information provides insights...
MobileNet is a convolutional neural network (CNN) that designed for mobile and embedded devices. MobileNet is often used for image classification. This tutorial demonstrates how to classify images using MobileNet...
ONNX is a format for representing machine learning models. ONNX is like an intermediary that makes it easier to exchange models between different machine learning frameworks. This tutorial demonstrates how...
ONNX is a format for representing machine learning models. ONNX Runtime can be used to run inference using a model represented in ONNX format.
This tutorial demonstrates how to convert...
TensorFlow 2 provides the TFLiteConverter which allows converting a TensorFlow 2 model to TensorFlow Lite model. This model uses the .tflite file extension. TensorFlow Lite models can be executed using...
Coronavirus (COVID-19) has affected many countries around the world. One of the protection method is to wear a face mask in public spaces. Many service providers and event organizers require...
Huber loss is a loss function that is used to solve regression problems. This function is a combination of the mean squared error (MSE) and mean absolute error (MAE). Huber...
Log-cosh loss is a loss function that is used to solve regression problems. Log-cosh is calculated as the average logarithm of the hyperbolic cosine of the differences between the predicted...
Binary cross-entropy (BCE) is a loss function that is used to solve binary classification problems (when there are only two classes). BCE is the measure of how far away from...