Probabilistic Programming, Pyro, Data Science, Hands On Tutorials.
loss:-0.69 >>> iter: 1500, normalized loss:-0.69 >>> iter: 1750, normalized loss:-0.68 >>> iter: 2000, normalized loss:-0.68 >>> iter: 2250, normalized loss:-0.69 >>> iter: 2500, normalized loss:-0.69 >>> iter: 2750, normalized loss:-0.69 >>> iter: 3000, normalized loss:-0.69 >>> iter: 3250,