技術標籤：Dive into Deep Learning

1. Linear Regression Implementation from Scratch

1.1 Generating the Dataset

To keep things simple, we will construct an artificial dataset according to a linear model with additive noise.

Our task will be to recover this model’s parameters using the finite set of examples contained in our dataset.

We generate a dataset containing 1000 examples, each consisting of 2 features sampled from a standard normal distribution. Thus our synthetic dataset will be a matrix