Deep convolutional neural network models may take days or even weeks to train on very large datasets. A way to […]
Search results for "transfer learning"
How to Improve Performance With Transfer Learning for Deep Learning Neural Networks
An interesting benefit of deep learning neural networks is that they can be reused on related problems. Transfer learning refers […]
A Gentle Introduction to Transfer Learning for Deep Learning
Transfer learning is a machine learning method where a model developed for a task is reused as the starting point […]
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 […]
What Is Meta-Learning in Machine Learning?
Meta-learning in machine learning refers to learning algorithms that learn from other learning algorithms. Most commonly, this means the use […]
14 Different Types of Learning in Machine Learning
Machine learning is a large field of study that overlaps with and inherits ideas from many related fields such as […]
What is Deep Learning?
Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain […]
One-Shot Learning for Face Recognition
One-shot learning is a classification task where one, or a few, examples are used to classify many new examples in […]
A Gentle Introduction to the Promise of Deep Learning for Computer Vision
The promise of deep learning in the field of computer vision is better performance by models that may require more […]
How to Manually Scale Image Pixel Data for Deep Learning
Images are comprised of matrices of pixel values. Black and white images are single matrix of pixels, whereas color images […]