AnushruthikaDigging deep into Neural networks: Manual ImplemeThis blog is going to dive deep into the basic concepts of neural networks by manually implementing them.Nov 11, 2023Nov 11, 2023
AnushruthikaAll about Activation functions & Choosing the Right Activation FunctionIt is applied to the weighted sum of inputs to the neuron (including the bias term), and the result becomes the output of the neuron that…Nov 9, 2023Nov 9, 2023
AnushruthikaVanishing Gradient Descent ProblemThe vanishing gradient problem in deep learning arises due to the decreasing magnitude of gradients as we move backward through the layers…Sep 6, 2023Sep 6, 2023
AnushruthikaInside the Brain of a Perceptron: How Machines Make DecisionsA perceptron is like a tiny decision-making machine in the world of artificial intelligence. It takes input data, assigns weights to it…Sep 6, 2023Sep 6, 2023
AnushruthikaUnderstanding Basics: Generative Adversarial NetworksUNDERSTANDING GANsSep 6, 2023Sep 6, 2023
AnushruthikaUnraveling Statistical Significance: A Beginner’s Guide to Hypothesis Testing, P-Values, Chi-Square…What is Hypothesis testing?Aug 21, 2023Aug 21, 2023
AnushruthikaFrom Raw to Rescaled: A Guide to Z-Score, Normalization, and Standardization in Data PreprocessingIn the world of data preprocessing, ensuring that your data is in the right format and scale is a crucial step in building robust and…Aug 16, 2023Aug 16, 2023
AnushruthikaIn-depth intuition of Regularisation in RegressionRegularization is the guardian of model stability in the realm of machine learning. It’s a set of techniques aimed at preventing…Aug 13, 2023Aug 13, 2023