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.
If you plan to train deep learning model using wav files, you may have to extract audio features from these files. In this tutorial, we will introduce you how to extract.
When you are building face recognition model using deep learning, you have to build a train set, gallery set and probe set to evaluate the performance of your model. In this tutorial, we will introduce these three sets.
Focal loss is a good method to improve the model performance for imbalance multi label classification. In this tutorial, we will implement it using tensorflow.
Both Batch Normalization and Layer Normalization can normalize the input \(x\). What is the difference between them. In this tutorial, we will introduce it.
Layer Normalization is proposed in paper “Layer Normalization” in 2016. In this tutorial, we will introduce what is layer normalization and how to use it.
Multi-Head Attention is very popular in nlp. However, there also exists some problems in it. In this tutorial, we will discuss how to implement it in tensorflow.