Introduction to PyTorch Framework // Optimizing Convolution Operations with AVX // Essential GDB Debugging Techniques

PyTorch is a tensor library optimized for deep learning that leverages both GPU and CPU capabilities Chinese documentation: https://pytorch.org/resources Gradient and Derivative Calculation # gradient_calculation.py import torch import numpy as np input_val = torch.tensor(3.) weight = torch.tensor(4., requires_grad=True) bias = torch.tensor(5 ...

Posted on Sat, 04 Jul 2026 17:50:31 +0000 by zoozoo

Understanding Convolution in Deep Learning: From Mathematics to Implementation

Convolution is a foundational operation in deep learning—especially in computer vision—where it enables hierarchical feature extraction through localized, parameter-shared transformations. Unlike general matrix multiplication, convolution exploits spatial locality and translation invariance, making it both computationally efficient and semantic ...

Posted on Mon, 08 Jun 2026 16:24:13 +0000 by puja