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291 posts in total. Keep on posting.
Showing posts 289–291 of 291. Each entry opens locally on this site; legacy Hexo posts link back to their original article at the bottom for reference.
2020
- EN
Reinforcement Learning-Principle-Day1
Reinforcement learning study notes — introducing MDPs, value functions, Bellman equations, and the fundamental framework of RL.
2019
- EN
Tensorflow-Day1-DNN Explain
Deep learning fundamentals with TensorFlow — covering DNN architecture, forward/backward propagation, activation functions, and gradient descent.
- EN
Reinforcement Learning\_WatermelonBook\_Summary
Summary of reinforcement learning concepts from Zhou Zhihua's Machine Learning textbook (Watermelon Book), covering core RL theory and algorithms.