Introduction In this blog, we’re going to look at transfer learning, a technique that enables the transfer of knowledge from one task to another. The traditional machine learning approach is to start with zero knowledge, and the model learns the structure and parameters of the model with the training examples provided: this type of learning […]
Introduction A Convolutional Neural Network (CNN) is a class of deep, feed-forward artificial neural networks most commonly applied to analyzing visual imagery. The architecture of these networks was loosely inspired by biological neurons that communicate with each other and generate outputs dependent on the inputs. Though work on CNNs started in the early 1980s, […]