Deep Learning Top Research Papers List

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This course consists of:

17 Tutorials

This list is a collection of the summaries of the top research papers in Deep Learning. A lot of us who have read some of these papers but not the others, and this list tracker and the available summaries help you get to the rest of them.

Expected time to completion: 2-3 weeks (10-15 sessions)

Pre-requisites: Introductory deep learning course

Syllabus

Paper Summary: ImageNet Classification with Deep Convolutional Neural Networks
2 mins
Paper Summary: Very Deep Convolutional Networks for Large-Scale Image Recognition
4 mins
Paper Summary: Deep Residual Learning for Image Recognition
3 mins
Paper Summary: Visualizing and Understanding Convolutional Networks
3 mins
Paper Summary: Intriguing Properties of Neural Networks
2 mins
Paper Summary: Network in Network
2 mins
Paper Summary: You Only Look Once: Unified, Real-Time Object Detection
2 mins
Paper Summary: GloVe: Global Vectors for Word Representation
5 mins
Sequence to Sequence Learning with Neural Networks
4 mins
Paper Summary: Teaching Machines to Read and Comprehend
4 mins
Paper Summary: Neural Machine Translation by Jointly Learning to Align and Translate
3 mins
Recurrent Neural Network Regularization
2 mins
Paper Summary: Visualizing Data using t-SNE
6 mins
Paper Summary: Neural Module Networks
3 mins
Paper Summary: DRAW: A Recurrent Neural Network For Image Generation
1 min
Paper Summary: Generative Adversarial Nets
3 mins
Paper Summary: Human-Level Control Through Deep Reinforcement Learning
5 mins

Start this course

Paper Summary: ImageNet Classification with Deep Convolutional Neural Networks

Category: Deep Learning

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