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Implement Convolution Module in Conformer Using TensorFlow – TensorFlow Tutorial

Implement Convolution Module in Conformer Using TensorFlow - TensorFlow Tutorial

In this tutorial, we will introduce how to use tensorflow to implement convolution module in conformer.

Category: TensorFlow

Python __call__(): Call Function with Dynamic Parameters – Python Tutorial

Python __call__() Call Function with Dynamic Parameters - Python Tutorial

In this tutorial, we will introduce how to use python __call__() function to call other functions with dynamic parameters.

Category: Python

Understand Dropout – Place it Before or After Activation Function in Dense Layer?

nerual networks dropout

In deep learning, we usually place a dropout layer after a dense layer. However, here is a problem? Dropout layer is placed before or after activation function.

Category: Machine Learning

Understand Convolution Subsampling Module in Conformer – Deep Learning Tutorial

Understand Convolution Subsampling Module in Conformer - Deep Learning Tutorial

Convolution subsampling module is an important part for processing inputs in conformer. In this tutorial, we will introduce how to implement it using tensorflow.

Category: TensorFlow

Implement Sinusoidal Position Encoding in TensorFlow – TensorFlow Tutorial

Implement Sinusoidal Position Encoding in TensorFlow - TensorFlow Tutorial

Sinusoidal position encoding or postion embedding is used in transformer. In this tutorial, we will introduce you how to implement it using tensorflow.

Category: TensorFlow

Step Guide to Plot Multiple Lines in Matplotlib – Matplotlib Tutorial

Step Guide to Plot Multiple Lines in Matplotlib - Matplotlib Tutorial

In this tutorial, we will introduce you how to plot multiple lines in a chart using python matplotlib. It is very easy.

Category: Matplotlib

Implement Feed Forward Module in Conformer Using TensorFlow – TensorFlow Tutorial

Conformer Feed Forward Module

In this tutorial, we will introduce conformer feed forword module and how to implement it using tensorflow.

Category: TensorFlow

Post-Norm and Pre-Norm Residual Units Explained – Deep Learning Tutorial

Pre-Norm and Post-Norm, which is better

In this tutorial, we will introduce post-norm and pre-norm residual units, they are often used to improve transformer in deep learning.

Category: Machine Learning

Dropout vs Batch Normalization – Which is Better for Multilayered Neural Network

Performance of dropout and batch normalization in CNN

Dropout and batch normalization are two well-recognized approaches to tackle overfitting in multilayered neural networks, which one is better? In this tutorial, we will discuss this topic.

Category: Machine Learning

Swish (Silu) Activation Function in TensorFlow: An Introduction – TensorFlow Tutorial

Swish (Silu) Activation Function in TensorFlow: An Introduction - TensorFlow Tutorial

In this tutorial, we will introduce how to implement swish or silu activation function in tensorflow. There are some tips you should notice.

Category: TensorFlow
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