Pytorch, Machine Learning, Gradient Descent, Python, Hands On Tutorials.
np.random.randn(n), dtype=np.float32) plt.scatter(x, y, facecolors='none', edgecolors='b') plt.scatter(x, y, c='r') plt.show() Figure 1. Toy problem set of points. Next we’ll break out the torch and introduce a simple training loop for a single-neuron network. To get consistent results when we vary