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• Computer Vision: Computer Vision is a field of study that focuses on enabling computers to interpret and understand the visual world. It involves the development of algorithms and techniques that allow machines to analyze and extract information from images ... Read More >>
• Stochastic Gradient Descent: Stochastic Gradient Descent (SGD) is an iterative optimization algorithm used to minimize the cost function in machine learning and deep learning models. It is a variant of gradient descent algorithm that updates the model parameters using ... Read More >>
• Policy-based Methods: Policy-based methods are a class of reinforcement learning algorithms that directly learn a policy, which is a mapping from states to actions, without computing a value function. These methods optimize the policy by iteratively updating the ... Read More >>