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

Random Initialization
1 # Step 0 - Initializes parameters "b" and "w" randomly
2 np.random.seed(42)
3 b = np.random.randn(1)
4 w = np.random.randn(1)
5
6 print(b, w)
Output
[0.49671415] [-0.1382643]
Step 1 - Compute Model’s Predictions
This is the forward pass; it simply computes the model’s predictions using the current
values of the parameters / weights. At the very beginning, we will be producing really
bad predictions, as we started with random values in Step 0.
Step 1
1 # Step 1 - Computes our model's predicted output - forward pass
2 yhat = b + w * x_train
Figure 0.2 - Model’s predictions (with random parameters)
Step 1 - Compute Model’s Predictions | 29