Understand Causal Padding in Convolutional Neural Networks – Deep Learning Tutorial
In this tutorial, we introduce what is causal padding, and discuss the difference SAME or VALID padding. It will be very useful to you.
Machine Learning Tutorials and Examples for Beginners
Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience.
In this page, we write some tutorials and examples on machine learning algorithms and applications. You can learn how to use machine learning in life by following our tutorials.
Python Generate Hash Audio Fingerprinting for Audio Retrieval and Detection – Machine Learning Tutorial
In this tutorial, we will introduce you how to use python to generate hash audio fingerprinting for audio retrieval and detection. It contains three parts, we will introduce you one by one.
Split MUSAN Dataset for Audio Augmentation: A Step Guide – Deep Learning Tutorial
In this tutorial, we will use an example code to show you how to split musan dataset to musan_split dataset, which cotains many small wav files from musan dataset.
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.
Compute Recall Based on EER in Speaker Verification – Deep Learning Tutorial
In speaker verification task, we often use EER to measure the performance of a deep learning model. However, if you also need to compute Recall, we will tell you how to do in this tutorial.
What Random Seed We Should Use – Find Best Random Seed in Deep Learning Model
We have known that random seed value can affect the performance of a deep learning model. In this tutorial, we will discuss what random seed we should use when building an AI model.
Understand Effects of Random Seed in Deep Learning – Deep Learning Tutorial
When we are training a deep learning model, we may have to set a random seed to make the final result stable. In this tutorial, we will discuss the effects of random seed.
Implement Chinese Text Normalization for TTS and ASR – Python Speech Processing
We are building a chinese TTS or ASR system, we should use text normalization. In this tutorial, we will introduce how to do.
How to Build Test Set for Speaker Verification – Machine Learning Tutorial
When we are building a speaker verification model, we have to build a test set to evaluate the performance of our model. For example, you will use this test to compute EER or minDCF.
An Introduction to Channel-wise Squeeze-Excitation Module (SE Module) – Machine Learning Tutorial
The Channel-wise squeeze-excitation module (SE module) has achieved a great success in both computer vision and speech processing fields. In this tutorial, we will introduce it for beginners.
