Deep Learning, Natural Language Process, Machine Learning, Markov Chains, Nlp Tutorial.
present in our model. We got the next predicted character as n, and its probability is 1.0. It makes sense because the word commo is more likely to be common after generating the next character. On line 12, we returned a sampled character according to the probabilistic values as we discussed above.