Reinforcement Learning (RL) is a learning paradigm different from traditional machine learning (supervised and unsupervised). The learning problem considered here mimics humans learning from interactions using trial-and-error and has historically been used in the context of planning/decision making related problems like robotics and autonomous driving. We can apply RL in…

prdeepakbabu/Python Python - All *.py scriptsgithub.com Deep learning neural networks have shown promising results in problems related to vision, speech and text with varying degrees of success. I have tried looking at a text problem here, where we are trying to predict gender from name of the person. RNNs are a good fit for this as…