chang1ee

ディープラーニング自然言語処理の基礎から最新モデルであるTransformerとBERTまで、ディープラーニング自然言語処理(Natural Language Processing [NLP])の原理と活用方法を様々な例と実習コード実装を通じて学習します。

aischool

例として学ぶディープラーニング自然言語処理入門 NLP with TensorFlow - RNNからBERTまで

example

차근차근

From the basics of deep learning natural language processing to the latest models such as Transformer and BERT, learn the principles and utilization methods of deep learning natural language processing (NLP) through various examples and practical code implementations.

AISchool

입문

초급

중급이상

Deep Learning(DL)

자연어처리(Natural Language Processing)

텐서플로

Tensorflow

Introduction to Deep Learning Natural Language Processing with Examples NLP with TensorFlow - From RNN to BERT

Course Introduction

Training Guide

Download lecture slides

What is natural language processing?

Basic knowledge for natural language processing

Language Model (Language Modelling) - Let's predict the next word

Embedding (Embedding) - Let's transform words into meaningful vectors

Machine Translation (Neural Machine Translation) - Let's perform translation using Deep Learning

Transformer - Let's learn the core model that forms the basis of the latest NLP technology

BERT - Let's explore the principles and basic usage of BERT

BERT Application - Let's apply BERT to various natural language processing tasks