In the previous blog, we discussed the Neural Network based policy, in this blog we are going to discuss the RL Policy Gradient. When we are playing a game like Frozen Lake in the previous blog, we may reach the goal but before reaching the goal, there may be various steps involved which result in…
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Mini-Batch Gradient descent is a form of gradient descent where the algorithm splits the training dataset into small batches and used these batches to calculate the loss and update the coefficient based on the outcome. Mini-Batch Gradient descent is lies between the very robust stochastic gradient descent and a very efficient batch gradient descent. In…
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One of the famous tasks of supervised learning is classification and Logistic regression is one of the most famous models for classification problems. Logistic Regression is used when the dependent variable(target) is categorical. Logistic regression, like Linear regression, has the cost function and we have to estimates the weight and biases using gradient descent. However, the…
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