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.
conv(weight)+BN+ReLU is the basic operation when building convolutional networks. How about conv(weight)+ReLU+BN? In this tutorial, we will discuss this topic.
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.
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.
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.
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.