• Mar 25
  [Paper Review] Sequence to Sequence Learning with Neural Networks
• Mar 22
  [Paper Review] Text Understanding with the Attention Sum Reader Network
• Mar 22
  [CV] Few Shot Learning
• Mar 22
  Pose Estimation - AlphaPose and its application
• Mar 22
  [Paper Review] Neural Translation by Jointly Learning to Align and Translate (2015)
• Mar 16
  [DL 101] Understanding Bi-RNN/LSTM (Pytorch)
• Mar 14
  [Paper Review] Distributed Representations of Words and Phrases and their Compositionality
• Mar 13
  [Paper Review] Efficient Estimation of Word Representations in Vector Space
• Mar 12
  [NLP] Google Duplex - 'Jarvis' comes true?
• Mar 12
  [Paper Review] U-Net: Convolutional Networks for Biomedical Image Segmentation
• Mar 12
  Web-crawling using Python
• Mar 12
  [Paper Review] YOLO (You Look Only Once)
• Mar 11
  [DL 101] Activation Functions
• Mar 11
  [Paper Review] Faster R-CNN
• Mar 11
  [Paper Review] Fast R-CNN
• Mar 10
  [NLP] Big Bird
• Mar 10
  [NLP] Multi-Task Learning & MT-DNN
• Mar 4
  [Paper Review] Sparse Transformer
• Mar 4
  [CV] One Shot learning
• Mar 3
  [AD] Introducing Anomaly Detection
• Mar 1
  [DL 101] OpenCV python tutorial
• Mar 1
  [Paper Review] R-CNN
• Feb 28
  [NLP] NLP tasks
• Feb 28
  [NLP] Code - BERT + KMeans
• Feb 28
  Useful methods for CV competition
• Feb 26
  [NLP] How does BERT work?
• Feb 26
  [DL 101] RAdam - a novel variant of Adam
• Feb 26
  [DL 101] Learning Rate Scheduler
• Feb 25
  [RecBasics] Negative samples in Top-K recommender task (Part 1)
• Feb 24
  [Paper Review] Attention is all you need
• Feb 24
  [NLP] Difficulties in applying NLP models to Korean data
• Feb 23
  [DL 101] Maxpooling? Convolutions?
• Feb 23
  [DL 101] Upsampling
• Feb 21
  [DL 101] Autoencoder Tutorial (Pytorch)
• Feb 18
  [Jump into ML] Overview of Cross-validation
• Feb 13
  [NLP] Overview of NLP
• Feb 13
  [DL 101] Transfer Learning vs. Fine Tuning vs. Training from scratch
• Feb 13
  [DL 101] List comprehension
• Feb 13
  [DL 101] Early Stopping, Weight Decay
• Feb 12
  [DL 101] Object Recognition Terminology
• Feb 11
  [DL 101] Global Average Pooling
• Feb 10
  Fundamentals of the Recommendation System
• Feb 3
  [Paper Review] Hybrid Recommender Systems: A Systematic Literature Review (2017)
• Feb 1
  [Paper Review] Wide & Deep Learning for Recommender Systems (2016)
• Jan 30
  Welcome to GoGL's blog :)