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Deep Learning

Deep Learning

This series of blogs are my notes from the class 11-785 Introduction to Deep Learning, taught by Bhiksha Raj at CMU. For my own sake of understanding and simplicity, the blog has been divided into 4 broad categories:

  1. Perceptrons
  2. CNNs, RNNs, and Language Models
  3. Attention and Transformers - Talks about why attention is all we need
  4. Generative Modeling
This post is licensed under CC BY 4.0 by the author.