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Tag Archives: Python-PyTorch

PyTorch rsqrt() method computes the reciprocal of the square root of each element of the input tensor. It accepts both real and complex-valued tensors. It… Read More
In this article, we will understand how to perform element-wise division of two tensors in PyTorch. To perform the element-wise division of tensors, we can… Read More
A Hessian matrix or Hessian is a square matrix of second-order partial derivatives of a function. The function must be a scalar-valued function. A scalar-valued… Read More
In this article, we are going to see how to join two or more tensors in PyTorch. We can join tensors in PyTorch using torch.cat()… Read More
In this article, we are going to see how to perform element-wise multiplication on tensors in PyTorch in Python. We can perform element-wise addition using… Read More
We could apply linear transformation to the incoming data using the torch.nn.Linear() module in PyTorch. This module is designed to create a Linear Layer in… Read More
A tensor in PyTorch is like a NumPy array with the difference that the tensors can utilize the power of GPU whereas arrays can’t. To… Read More
PyTorch remainder() method computes the element-wise remainder of the division operation (dividend is divided by divisor). The dividend is a tensor whereas the divisor may… Read More
In this article, we are going to see how to perform element-wise addition on tensors in PyTorch in Python. We can perform element-wise addition using… Read More
PyTorch linalg.norm() method computes a vector or matrix norm. Norm is always a non-negative real number which is a measure of the magnitude of the… Read More
PyTorch linalg.svd() method computes the singular value decomposition (SVD) of a matrix. 2D tensors are matrices in PyTorch. This method supports both real and complex-valued… Read More
PyTorch atan2() method computes element-wise arctangent of (y/x), where y, x are the tensors with y-coordinates and x-coordinates of the points respectively. The arctangent of… Read More
PyTorch log2() method computes the logarithm to the base 2 of the elements of an input tensor.  It computes the logarithm values element-wise.  It takes… Read More
PyTorch torch.stack() method joins (concatenates) a sequence of tensors (two or more tensors) along a new dimension. It inserts new dimension and concatenates the tensors… Read More
Introduction: Introduced in the 1980s by Yann LeCun, Convolution Neural Networks(also called CNNs or ConvNets) have come a long way. From being employed for simple… Read More

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