Book Notes: Handbook of Sikh Theology
My notes from the book ‘Handbook of Sikh Theology’
Dive into the transformative world of neural networks with this comprehensive guide on RNN, LSTM, GRU, and Attention mechanisms. Explore how these models tackle the challenges of sequence prediction, manage long-term dependencies, and revolutionize language processing tasks. This article provides intuitive explanations, detailed visualizations, and contrasts between the architectures to enhance your understanding of their practical applications.
This article covers backpropagation in detail and why it is used to train neural networks. Later, we cover how it is implemented practically in machine learning frameworks using Automatic Differentiation.
Understand the mathematical foundations and practical applications of optimizing policies directly through gradients, exploring episodic and continuous environments. The piece offers theoretical insights and proofs, illuminating complex concepts like the policy gradient theorem and function approximation.
Unsupervised representation learning (both autoregressive and autoencoding) has been highly successful in NLP. So much so that researchers are coming
Find the paper here. Paper Gist:The paper introduces Integrated Understanding System(IUS) as an effort to make better language understanding models.
Some people are blessed with infinite mental capacity and a body that never tires. I always thought that I was
In this post, I talk about Peter Voss’s paper. I first read about Peter’s theory of mind approach in Chapter
What do you want to do with your life? This is a question that each person asks himself/herself at some