by Shahinur | Oct 24, 2019 | Basic Terminology, Optimization
Peak signal to noise ratio is known as PSNR. It is the most popular technique to make a comparison between images or signals. We can get quantitive compression values by PSNR. The PSNR value is mostly dependent on the MSE we discussed before. To avoid unnecessarily...
by Shahinur | Oct 18, 2019 | Machine Learning, Reinforcement Learning
In addition to the agent and the environment, there are four sub-elements: policy, reward, value function, and model. Policy A policy determines how an agent will behave in a specific environment. It is a fundamental component of the agent that can independently...
by Shahinur | Oct 13, 2019 | Reinforcement Learning
Reinforcement Learning is a type of learning process aimed at making decisions in an environment to maximize the amount of reward obtained. It is a trial-and-error method. The most distinctive features of reinforcement learning are trial-and-error and reward. In...
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