Exploration vs Exploitation in Reinforcement Learning

In Reinforcement Learning, exploration vs exploitation is a fundamental trade-off that agents must navigate to learn the optimal behavior in an environment. Exploration refers to the process of trying out new actions or visiting new states in order to gain more information about the environment and improve the agent’s understanding of the rewards and transition…

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Top 10 Object Detection Algorithms in Machine Learning

Top 10 Object Detection Algorithms in Machine Learning is a short video to discuss ten types of Object Detection Algorithms in deep learning. The discussed algorithms are Region-based Convolutional Neural Networks(R-CNN), Fast R-CNN, Faster R-CNN, Mask R-CNN, Region-based Fully Convolutional Network (R-FCN), Histogram of Oriented Gradients (HOG), Spatial Pyramid Pooling (SPP-net), Single Shot Detector (SSD),…

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