This document provides summaries of 3 papers related to deep learning and neural networks: 1. "The 9 Deep Learning Papers You Need To Know About" by Adit Deshpande which summarizes influential deep learning papers. 2. "A Friendly Introduction to Cross-Entropy Loss" by Rob DiPietro which introduces the cross-entropy loss function used in neural networks. 3. "How to implement a neural network Intermezzo 2" by Peter Roelants which explains how to implement a neural network in code.