id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
adeshpande3-github-io-4431		The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3) – Adit Deshpande – Engineering at Forward | UCLA CS '19			.html	text/html	5227	306	64	In this paper titled "Visualizing and Understanding Convolutional Neural Networks", Zeiler and Fergus begin by discussing the idea that this renewed interest in CNNs is due to the accessibility of large training sets and increased computational power with the usage of GPUs. They also talk about the limited knowledge that researchers had on inner mechanisms of these models, saying that without this insight, the "development of better models is reduced to trial and error". The reasoning behind this modification is that a smaller filter size in the first conv layer helps retain a lot of original pixel information in the input volume. Written by Andrej Karpathy (one of my personal favorite authors) and Fei-Fei Li, this paper looks into a combination of CNNs and bidirectional RNNs (Recurrent Neural Networks) to generate natural language descriptions of different image regions.	./cache/adeshpande3-github-io-4431.html	./txt/adeshpande3-github-io-4431.txt