Types of Generative ModelsHii :) I have already discussed a few topics related to the generative concept and this is the continuation part. As the title suggests…Sep 28, 2023Sep 28, 2023
All about PromptsHii! Nowadays in most fields AI is present and most of us are willing to use automation. All of these were made possible with the…Sep 26, 2023Sep 26, 2023
Gradient Descent in Machine LearningAs we have gone through the details how do we process,augment and train the machine learning model based on those images. And also about…Aug 7, 2021Aug 7, 2021
Bias and Variance in Machine LearningBias and Variance are the parameters related to predictions of a neural network. Based on the accuracy of the prediction we can say whether…Aug 2, 20211Aug 2, 20211
Published inBecoming Human: Artificial Intelligence MagazineIntroduction to Neural Networks and Machine LearningIn the Modern era, Everything is getting automated and usage of machines has increased a lot from past 4–5 years. It is much useful to make…Jul 29, 2021Jul 29, 2021
Underfitting and Overfitting in Machine LearningEven though the machine is trained to solve a specific problem, There are still some limitations where machines perform far less than the…Jul 25, 2021Jul 25, 2021
Published inBecoming Human: Artificial Intelligence MagazineLoss Functions in Neural NetworksLoss functions show how deviated the prediction is with actual prediction. Machines learn to change/decrease loss function by moving close…Jul 20, 20211Jul 20, 20211
Data AugmentationIn Supervised Machine learning tasks the prediction accuracy of the model has huge effect on the data available during training. So it is…Jul 17, 2021Jul 17, 2021
Preprocessing in Machine LearningIf we need some work to be done by others, then they should be trained on that kinda work. In a similar fashion machine also learns the…Jul 14, 2021Jul 14, 2021
