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Questions tagged [variance]

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RL Advantage function why A = Q-V instead of A=V-Q?

In RL Course by David Silver - Lecture 7: Policy Gradient Methods, David explains what an Advantage function is, and how it's the difference between Q(s,a) and the V(s) Preliminary, from this post: ...
9
votes
1answer
546 views

Question on bias-variance tradeoff and means of optimization

So I was wondering how does one, for example, can best optimize the model they are trying to build when confronted with issues presented by high bias or high variance. Now, of course, you can play ...
1
vote
0answers
53 views

Math behind, MSE = bias^2 + variance

Based on the deeplearningbook: $$MSE = E[(\theta_m^{-} - \theta)^2]$$ $$equals$$ $$Bias(\theta_m^{-})^2 + Var(\theta_m^{-})$$ where m is the number of samples ...
0
votes
1answer
94 views

Massive variation in results with tensorflow and keras

I'm new to Tensorflow and Keras and I some background knowledge of how CNN's work. I'm using a basic sequential model based on the code by https://pythonprogramming.net/convolutional-neural-network-...