BoostCamp AI Tech

AWS

Udemy

Python

Computer Vision

NLP

Natural Language Processing

AWS Certified Developer Associate

Graph

AUSG

TDD

Convolution Neural Network

CNN

RNN

DevOps

IaC

Terraform

AlexNet

Transformer

Knowledge Distillation

R-CNN

Fast R-CNN

Faster R-CNN

YOLO

Semantic Segmentation

VGGNet

Data Augmentation

Attention

GAN

ResNet

Deep Learning

Neural Network

Multi Layer Perceptron

Probability Distribution

Numpy

Filter Decomposition

Low-rank Approximation

Eigenvalue Decompostion

Singualr Value Decomposition

SVD

Principal Component Analysis(PCA)

Tensor Decomposition

Quantization

Teacher-student Network

Hinton Loss

Zero-mean Assumption

Pruning

Lottery Ticket Hypothesis

Multi-modal Learning

Joint Embedding

Cross-modal Translation

Show and Tell

Show Attend Tell

Cross-modal Reasoning

Short-time Fourier transform

STFT

Spectogram

Sound Tagging

Speech2Face

Image-to-speech Synthesis

Sound Source Localization

Instance Segmentation

Mask R-CNN

YOLACT

YolactEdge

Panoptic Segmentation

UPSNet

VPSNet

Landmark Localization

Coordianate Regression

Heatmap Classification

Hourglass Network

DensePose

RetinaFace

CornerNet

CenterNet

Conditional Generative Model

Super Resolution

Pix2Pix

CycleGAN

Cycle-consistency Loss

Perceptual Loss

Feature Reconstruction Loss

Style Reconstruction Loss

Gram Matrix

Deepfake

Face de-identification

Video translation

Object Detection

Selective Search

Two-stage Detector

Single-stage Detector

IoU

Anchor Box

RPN

NMS

SSD

Focal Loss

Class Imbalance problem

RetinaNet

DETR

CNN Visualization

Filter Visualization

Embedding Feature Analysis

Dimensionality Reduction

Activation Investigation

Class Visualization

Model Behavior explanation

Model Decision Explanation

Saliency Test

Occlusion Map

Backpropagation-based Saliency

CAM

Grad-CAM

Fully Convolutional Networks

FCN

Upsampling

Transposed Convolution

Checkboard artifact

Hypercolumn

U-Net

DeepLab

Conditional Random Fields

CRFs

Atrous convolution

Depthwise separable convolution

Image Classification

K-NN

LeNet

Transfer Learning

Semi-supervised Learning

Self-training

Graph Neural Network

GNN

GCN

GraphSAGE

GAT

Graph Embedding

Over-smoothing

Node Embedding

Node Representation Learning

Similarity

DeepWalk

Node2Vec

Transductive Node Embedding

Recommender System

Content-based Recommender System

내용기반 추천시스템

Collaborative Filtering Recommender System

협업필터링기반 추천시스템

Netflix Challenge

Latent Factor Model

잠재인수 모형

Community Detection

군집 탐색

Configuration Model

배치 모형

Modularity

군집성

Girvan-Newman Algorithm

Louvain Algorithm

betweenness centrality

매개중심성

Cascade Model

Linear Threshold Model

선형임계치모형

Independent Cascade Model

독립적전파모형

PageRank

페이지랭크

Graph Patterns

Self-Supervised Learning

Pretraining Model

GPT

BERT

Zero Shot Setting

Few Shot

ALBERT

ELECTRA

Self-Attention

Positive Encoding

Multi-Headed Attention

Block Based Model

Encoder

Decoder

Masked Self-Attention

Seq2Seq

Beam

BLEU

Character Language Modeling

LSTM

GRU

Bag-of-Words

Word Embedding

Word2Vec

GloVe

Generative Models

생성모델

Conditional Independence

조건부독립

Auto-regressive Model

AR Model

AR 모델

자기회귀모델

NADE

Pixel RNN

Variational Auto-Encoder

VAE

Variational Inference

ELBO

Adversarial Auto-Encoder

AAE

Generative Adversarial Network

Attention Mechanism

Multi Headed Attention

Kernel

Filter

Convolutionalization

Fully Convolutional Network

Detection

SPPNet

Stride

Padding

패딩

Demension Reduction

GoogLeNet

DenseNet

Optimization

Generalization

Over-fitting

Cross-validation

Momentum

Adagrad

Adam

Regularization

DQN

Encoder/Decoder

Adam Optimizer

Bert

GPT-3

Self Supervised Learning

Bayes' theorem

베이즈정리

빈도주의

조건부 확률

Conditional Probability

인과관계

Causality

중첩요인

Confounding Factor

인공신경망

Linear Neural network

MLP

Matplotlib

Seaborn

Statistics

모수

Parameter

확률 분포

중심극한정리

Central Limit Theorem

표본분포

Sample Distribution

표집분포

Sampling Distribution

가능도

우도

Likelihood

최대가능도측정법

최대우도측정법

Maximum Likelihood Estimation

MLE

쿨백-라이블러 발산

KL Divergence

Probability theory

확률론

확률분포

Joint Probability Distribution

결합확률분포

Marginal Probability Distribution

주변확률분포

Conditional Probability Distribution

조건부확률분포

Monte Carlo Method

몬테카를로 방법

MCMC

Markov chain Monte Carlo

Softmax

Activation Function

Forward Propagation

Backpropagation

Chain-rule

Pandas

numpy

Grdient Descent

Linear Algebra

Vector

Matrix

log

regex

XML

csv

JSON

Docker

S3

VPC

Solution Archiecture

Route 53

DNS

RDS

Aurora

ElastiCache

EBS

EFS

Instance Store

ASG

Scaling

ELB

SSL/TLS

SNI

IAM

EC2

ENI

Security Groups

Linux

Ubuntu