Understanding how TensorFlow works with matrices is very important in understanding the flow of data through computational graphs.
It is worth emphasizing the importance of matrices in machine learning (and mathematics in general). Most machine learning algorithms are computationally expressed as matrix operations. This book does not cover the mathematical background on matrix properties and matrix algebra (linear algebra), so the reader is strongly encouraged to learn enough about matrices to be comfortable with matrix algebra.
