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Tag Archives: Python-PyTorch

PyTorch is a popular open-source machine learning library for developing deep learning models. It provides a wide range of functions for building complex neural networks.… Read More
Multiclass classification is an application of deep learning/machine learning where the model is given input and renders a categorical output corresponding to one of the… Read More
Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such as image recognition and classification.… Read More
A 2D Convolution operation is a widely used operation in computer vision and deep learning. It is a mathematical operation that applies a filter to… Read More
Pooling is a technique used in the CNN model for down-sampling the feature coming from the previous layer and produce the new summarised feature maps.… Read More
Graphs, Automatic Differentiation and Autograd are powerful tools in PyTorch that can be used to train deep learning models. Graphs are used to represent the… Read More
PyTorch is a deep learning framework that provides a variety of functions to perform different operations on tensors. One such function is torch.inverse(), which can… Read More
If we are trying to build a neural network then we have to initialize the layers of the network with some initial weights which we… Read More
Computer vision is a subset of Artificial Intelligence that gives the ability to the computer to understand images. In Deep Learning, Convolution Neural Network is… 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
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
Custom module in Pytorch A custom module in PyTorch is a user-defined module that is built using the PyTorch library’s built-in neural network module, torch.nn.Module.… Read More
A transposed convolutional layer is an upsampling layer that generates the output feature map greater than the input feature map. It is similar to a… Read More
An epoch in machine learning is one complete pass through the entire training dataset. One pass means a complete forward and backward pass through the… Read More
In this article, we are going to discuss how to compute the QR decomposition of a matrix in Python using PyTorch. torch.linalg.qr() method accepts a… Read More