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