Deep Learning Hyperparameter Tuning Experience

Deep Learning Hyperparameter Tuning Experience

Click on the “AI有道” above to select the “Star” public account Heavyweight content delivered first-hand This article is adapted from DataWhale Training techniques are very important for deep learning. As a highly experimental science, the same network structure trained with different methods can yield significantly different results. Here, I summarize my experiences over the past … Read more

Understanding One-Hot Encoding in Neural Networks

Understanding One-Hot Encoding in Neural Networks

This article will cover three aspects of one-hot encoding: the principle of one-hot encoding, its classification, and its applications. One-Hot Encoding . One-Hot Encoding 1. The Principle of One-Hot Encoding Feature Digitization: Converts categorical variables (also known as discrete features, unordered features) into a format suitable for machine learning algorithms. Feature Digitization Creates a new … Read more

Scikit-learn: The Swiss Army Knife of Machine Learning

Scikit-learn: The Swiss Army Knife of Machine Learning

Honestly, every time I write machine learning code with Scikit-learn, I feel an inexplicable thrill. This library is like our helpful assistant, wrapping complex machine learning algorithms in a simple and easy-to-use way, allowing us to focus on solving real problems rather than getting bogged down in the details of algorithm implementation. Installation and Import … Read more

Scikit-learn: A Powerful Assistant for Building Machine Learning Models

Scikit-learn: A Powerful Assistant for Building Machine Learning Models

Scikit-learn: A Powerful Assistant for Building Machine Learning Models To be honest, I have always found machine learning quite mysterious, it sounds very sophisticated. However, since I encountered the Scikit-learn library in Python, I realized that machine learning is not that scary! Today, let’s talk about this super handy tool and see how it helps … Read more