Tensors

this is a summary of my understanding of the optional lab on covered numpy, arrays, vectors and matrices. because we will be working with huge sets of data and we’ll be manipulating weights, properties and biases repeatedly, we need to do these operations efficiently. Thus, the numpy package can help as it has vectors and matrix properties, which are faster and less memory intensive compared to hardcoded calculations. to create both matrices and vectors the np.array syntax is typically used as such: ...