Skip to content

Category Archives: Machine Learning

PyTorch is an open-source machine-learning framework based on the Torch library. It is built by the Facebook AI team.  It is used for Computer vision… Read More
Flann stands for Fast Library for Approximate Nearest Neighbors. It is actually used for the system to choose the best algorithm and optimum parameters depending… Read More
Deep learning is a powerful and flexible method for developing state-of-the-art ML models. PyTorch is a popular open-source deep learning framework that provides a seamless… Read More
OpenCV (Open Source Computer Vision) library primarily focuses on image and video processing. To load a single image through OpenCV, imread() function is used. However,… Read More
Padding is a technique used in convolutional neural networks (CNNs) to preserve the spatial dimensions of the input data and prevent the loss of information… Read More
Anomaly is a deviation from the expected or normal behavior or pattern. Anomaly detection is the process of identifying these unusual patterns or behaviors in… Read More
Feature scaling is an important step in data preprocessing. Several machine learning algorithms like linear regression, logistic regression, and neural networks rely on the fine-tuning… Read More
Stationary tracking is when a device or system is able to track an object or person without moving. For example, a security camera that is… Read More
Transposed convolution, also known as fractionally-strided convolution, is a technique used in convolutional neural networks (CNNs) for the upsampling layer that increases the spatial resolution… Read More
SciPy is a Python library used for scientific and technical computing. It is built on top of NumPy, a library for efficient numerical computing, and… Read More
Deep learning is a subset of machine learning that uses artificial neural networks (ANNs) to model and solve complex problems. It is based on the… Read More
Self-Supervised Learning is a deep learning methodology where a model is pre-trained using unlabelled data and the data labels are generated automatically, which are further… Read More
As machine learning models continue to become more popular and widespread, it is important for data scientists and developers to understand how to build the… Read More
In PyTorch, the torch.nn.Linear class is a linear layer that applies a linear transformation to the input data. It is called linear transformation because it… Read More
Image enhancement is the process of improving the quality and appearance of an image. It can be used to correct flaws or defects in an… Read More

Start Your Coding Journey Now!