Machine Learning (ML) XNet architecture: X-Ray image segmentation Medical image processing is an important application in Computer Vision,requires segmentation of images into body parts. Joseph Bullock and his partners in Durham University proposed a neuron network called XNet which is suitable for this task.
Machine Learning (ML) Seq2seq: Encoder-Decoder Sequence to Sequence Model Explanation In Deep learning, we all know that Recurrent Neuron Network solves time series data. Sequence to Sequence (or Seq2Seq for short) is a kind of model that was born to solve "Many to many" problem.
Machine Learning (ML) PCA vs LDA [Differences] This problem charged us much time, memory spaces and make difficult for our models to work with until PCA and LDA was born. In this article, we're going to discuss about how these 2 algorithms work and the differences between them.