Author Archives: Vijaysinh Lendave - Page 4
In this article, we will talk about ChainerCV, a library that has a variety of models that are required for computer vision-related tasks.
In this article, we will go over tasks performed in the OCR method and python based library that centralizes all OCR-related operations.
Deep neural networks are vulnerable to the problem of vanishing and exploding gradients. This is especially true for Recurrent Neural Networks, which are commonly used (RNNs).
Deep neural networks are vulnerable to the problem of vanishing and exploding gradients. This is especially true for Recurrent Neural Networks, which are commonly used (RNNs).
Most advanced machine learning models based on CNN can now be easily fooled by very small changes to the samples on which we are going to make a prediction, and the confidence in such a prediction is much higher than with normal samples.
In machine learning, ensemble approaches combine many weak learners to achieve better prediction performance than each of the constituent learning algorithms alone.
Image matting is a very useful technique in image processing which helps in extracting a targeted part of the image.
Explainability in machine learning refers to the process of explaining a machine learning model's decision to a human. The term "model explainability" refers to the ability of a human to understand an algorithm's decision or output.
The detection of dataset elements that differ significantly from the majority of instances is known as outlier detection. There are various visualization methods and statistical tests, such as z-test, Grubb's test and other algorithms used to detect them.
The detection of dataset elements that differ significantly from the majority of instances is known as outlier detection. There are various visualization methods and statistical tests, such as z-test, Grubb's test and other algorithms used to detect them.