Convolutional Neural Network-based classification library
AT A GLANCE
- Includes functions for dataset creation, classifier training and image classification
- Compatible with CPU and GPU processing
- Able to detect defective products or sort products into various classes
- Supports data augmentation, works with as few as one hundred training images per class
- Includes a free Studio application to ease the creation of deep learning applications
The new EasyDeepLearning library is a Convolutional Neural Network-based classification library which learns by example. It has been tailored, parametrized and optimized for analyzing images, particularly for machine vision applications. It learns how to distinguish defects or classify parts by being shown many images of the parts to be inspected. It includes functions for dataset creation, classifier training and image classification. Compatible with CPU and GPU processing it is able to detect defective products or sort products into various classes. It supports data augmentation, works with as few as one hundred training images per class. EasyDeepLearning has a simple API and the user can benefit from the power of deep learning with only a few lines of code. It includes a free Studio application to ease the creation of deep learning applications.
