The pixel values in images must be scaled prior to providing the images as input to a deep learning neural […]
Search results for "normalize"
How to Normalize and Standardize Time Series Data in Python
Some machine learning algorithms will achieve better performance if your time series data has a consistent scale or distribution. Two […]
How to Normalize and Standardize Your Machine Learning Data in Weka
Machine learning algorithms make assumptions about the dataset you are modeling. Often, raw data is comprised of attributes with varying […]
What is Attention?
Attention is becoming increasingly popular in machine learning, but what makes it such an attractive concept? What is the relationship […]
Modeling Pipeline Optimization With scikit-learn
This tutorial presents two essential concepts in data science and automated learning. One is the machine learning pipeline, and the […]
A Gentle Introduction to Ensemble Diversity for Machine Learning
Ensemble learning combines the predictions from machine learning models for classification and regression. We pursue using ensemble methods to achieve […]
How to Combine Predictions for Ensemble Learning
Ensemble methods involve combining the predictions from multiple models. The combination of the predictions is a central part of the […]
Weight Initialization for Deep Learning Neural Networks
Weight initialization is an important design choice when developing deep learning neural network models. Historically, weight initialization involved using small […]
How to Develop a Neural Net for Predicting Car Insurance Payout
Developing a neural network predictive model for a new dataset can be challenging. One approach is to first inspect the […]
How to Choose an Activation Function for Deep Learning
Activation functions are a critical part of the design of a neural network. The choice of activation function in the […]