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 […]
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 […]
Semi-Supervised Learning With Label Spreading
Semi-supervised learning refers to algorithms that attempt to make use of both labeled and unlabeled training data. Semi-supervised learning algorithms […]
Perceptron Algorithm for Classification in Python
The Perceptron is a linear machine learning algorithm for binary classification tasks. It may be considered one of the first […]
Develop an Intuition for How Ensemble Learning Works
Ensembles are a machine learning method that combine the predictions from multiple models in an effort to achieve better predictive […]