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...
by Shahinur | Sep 28, 2019 | Python
This segment is a bit advanced, so those who have no knowledge of databases or are just starting with Python may skip this part. Python’s database interface is very rich and supports many database systems. Some notable and commonly used database systems include:...
by Shahinur | Sep 27, 2019 | Python
Python network programming refers to developing applications using the Python programming language that involves communication over computer networks. This includes a wide range of tasks from low-level socket programming to high-level frameworks for creating web...
Recent Comments