Monthly Archive April 2020

Image Classification with Variable Input Resolution in Keras

Convolutional neural networks (CNN) are a type of neural network designed for image classification.

Read the rest of the article at Mindboard’s Medium channel.

Improving Classification Accuracy with ACGAN (Keras)

Supervised machine learning uses labeled data to train models for classification or regression over a set of targets. The performance of a model is a function of the data that is used to train it. The less data that is available, the harder it is for a model to learn to make accurate predictions on unseen data.

Read the rest of the article at Mindboard’s Medium channel.