Vectors, Matrices, Tensors – What’s The Difference?

Linear algebra is a branch of mathematics which deals with solving a system of linear equations.  It is widely used throughout science and engineering and it is essential to understanding machine learning algorithms. Linear algebra defines three basic data-structures - vectors, matrices and tensors, which are constantly used in machine and deep learning. In this … Continue reading Vectors, Matrices, Tensors – What’s The Difference?

Where Do I Get My Pretrained Networks?

Pretrained networks are very useful. A pretrained network is a deep learning model which has been already trained on some data and the weights of the model have been made publicly available for free use. The famous example of a pretrained network is the VGG series of networks. VGG stands for "Visual Geometry Group", which … Continue reading Where Do I Get My Pretrained Networks?