Chapter 5: Linear Transformation and Softmax

What You'll Build Two helper functions that show up in nearly every layer of a neural network: Linear takes an input vector and a weight matrix, multiplies each row of weights element-by-element with the input, and sums each row into a single output value: input: [1, 2, 3] weights: [[0.1