HOME
  • About Me
  • Category
    DL101 CV NLP Project
Navigation bar avatar

Dive into AI


Seungmi Oh

Word Embedding

Posted on April 30, 2021

NLP Basics: Dimensionality Reduction, Autoencoder, Word2Vec [Read More]
Tags: word embedding autoencoder dimension reduction word2vec

[Paper Review] Sequence to Sequence Learning with Neural Networks

Posted on March 25, 2021

Briefly introduce what Seq2seq is [Read More]
Tags: seq2seq paper review

[Paper Review] Efficient Estimation of Word Representations in Vector Space

Posted on March 13, 2021

How to make text to be input in deep learning? [Read More]
Tags: paper review word2vec

[Paper Review] U-Net: Convolutional Networks for Biomedical Image Segmentation

Posted on March 12, 2021

In Biomedical field, the instance segmentation are frequently used such as detecting tumors based on radiography, lesion segmentation, etc. What is important here, in biomedical data, is that the output should include localization. Let's look at what is U-Net and how it works [Read More]
Tags: unet supervised learning image segmentation paper review

Web-crawling using Python

Posted on March 12, 2021

Today, we are going to know how to crawl iherb using Python, especially information about supplements. [Read More]
Tags: web crawling selenium iherb
  • ← Newer Posts
  • Older Posts →
  • Email me
  • GitHub

Seungmi Oh  •  2021

Powered by Beautiful Jekyll