https://yashrajkupekar17.github.io/Yashraj KupekarA blog to make you understand things 2026-01-13T08:33:47+00:00 Yashraj Kupekar https://yashrajkupekar17.github.io/ Jekyll © 2026 Yashraj Kupekar /assets/img/favicons/favicon.ico /assets/img/favicons/favicon-96x96.png Weight initialization2026-01-08T14:12:00+00:00 2026-01-08T14:12:00+00:00 https://yashrajkupekar17.github.io/posts/weight-initialization/ Yashraj Kupekar We will dive into some weight initialization techiniques and how each one is good or bad Activation Functions2026-01-08T11:36:00+00:00 2026-01-08T11:36:00+00:00 https://yashrajkupekar17.github.io/posts/activation-functions/ Yashraj Kupekar Why are activation functions important and how different activation functions are used in different types of problem statements and why are they used? Unsupervised Pretraining - How We Learned to Train Deep Networks2026-01-07T13:37:00+00:00 2026-01-13T08:33:24+00:00 https://yashrajkupekar17.github.io/posts/unsupervised-pretraining/ Yashraj Kupekar What is Unsupervised pretraining and how it opened doors for different researches in Deep Learning ? Regularization2026-01-02T15:08:00+00:00 2026-01-02T15:08:00+00:00 https://yashrajkupekar17.github.io/posts/regularization/ Yashraj Kupekar A clear, intuition-first guide to why machine learning models overfit and how regularization techniques help them generalize better. Bias-Variance Tradeoff and Need of Regularization2026-01-02T11:48:00+00:00 2026-01-02T11:48:00+00:00 https://yashrajkupekar17.github.io/posts/biasandvariance/ Yashraj Kupekar This blog gives you the understanding of What is bias , what is variance , and how training a model is doing a tradeoff between bias and variance.