Linear Algebra for Deep Learning Models on TensorFlow

Today we will focus on vector data and linear algebra handling when building this type of model. Note that data preprocessing may be ignored due to the things we are focusing on is not there this time. Vector data, also known as 2D tensors. If we say a single data is a vector, then 2D vector data is just when we handle more than one single data at a time. Suppose we are implementing a 3-layers multilayer perceptron for the Iris dataset for classification on TensorFlow 1.X.