## Pip Install Python Packages Offline on Linux – Python Tutorial

Sometimes, we need install some python packages offline using pip command on linux. How to install? In this tutorial, we discuss this topic.

## Linux scp Command: Transfer Files and Folders Between Linux Computers – Linux Tutorial

Linux scp command allows us to transfer files and folders between different linux computers. In this tutorial, we will introduce how to use it to transfer.

## Count the Total Number of Parameters in PyTorch Model

When we are using pytorch to build an ai model, we may want to know how many parameters in this model. In this tutorial, we will use an example to show you how to do.

## Fix Python SyntaxError: Non-ASCII character ‘\xe4’ in file Error – Python Tutorial

When we are running python script on terminal, we may get this error: SyntaxError: Non-ASCII character ‘\xe4’ in file. In this tutorial, we will introduce you how to fix it.

## Unit-normalize a NumPy Array: A Practice Guide – NumPy Tutorial

We often need to unit-normalize a numpy array, which can make the length of this arry be 1. In this tutorial, we will introduce you how to do.

## Understand numpy.linalg.norm() with Examples: Calculate Matrix or Vector Norm – NumPy Tutorial

In this tutorial, we will introduce how to use numpy.linalg.norm() in python. It can allow us to calculate matrix or vector norm easily.

## Channel Attention in Squeeze-and-Excitation (SE) Block Explained – Deep Learning Tutorial

Channel attention is the core of Squeeze-and-Excitation (SE) block. In this tutorial, we will analysis how to implement it for beginners.

## Implement Squeeze-and-Excitation (SE) Block for 1D Matrix in PyTorch – PyTorch Tutorial

Here 1D matrix is: [batch_size, channel, width] or [batch_size, channel, height]. We will implement a SE block on it in pytorch.

## Implement Squeeze-and-Excitation (SE) Block for 2D Matrix in PyTorch – PyTorch Tutorial

As to 2D matrix, it means the shape is [batch, channel, height, width]. In this tutorial, we will introduce how to implement a squeeze-and-excitation (SE) block for this kind of data.

## Convert Boolean to 0 and 1 in NumPy – NumPy Tutorial

Sometimes, we need convert a boolean array to 0 and 1. In this tutorial, we will introduce you how to do.