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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
10
votes
Difference between AlphaGo's policy network and value network
Here is my concise thought process in understanding the two different networks.
First of all, the goal is to find an optimal solution (or very near-optimal) without using an exhaustive search, which …