Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

If you’re using Jupyter’s default settings, this link should open Chapter 1’s
notebook. If not, just click on Chapter01.ipynb on your Jupyter’s home page.
Imports
For the sake of organization, all libraries needed throughout the code used in any
given chapter are imported at its very beginning. For this chapter, we’ll need the
following imports:
import numpy as np
from sklearn.linear_model import LinearRegression
import torch
import torch.optim as optim
import torch.nn as nn
from torchviz import make_dot
A Simple Regression Problem
Most tutorials start with some nice and pretty image classification problem to
illustrate how to use PyTorch. It may seem cool, but I believe it distracts you from
the main goal: learning how PyTorch works.
For this reason, in this first example, I will stick with a simple and familiar problem:
a linear regression with a single feature x! It doesn’t get much simpler than that!
Equation 1.1 - Simple linear regression model
A Simple Regression Problem | 61