INEED COFFEE
Much more !
HOME
CATEGORIES
TAGS
ARCHIVES
ABOUT
Home
Archives
Archives
Cancel
Archives
2021
27
Jun
【Lecture 16】Gated Recurrent Units
19
Jun
【Lecture 15】Long Short-Term Memory
19
Jun
2021 카카오 인턴 코테/인터뷰 후기 및 정리
06
Jun
【Lecture 14】Recurrent Neural Networks
30
May
【Lecture 13.6】Object Detection YOLO v1
16
May
【Lecture 13.5】Object Detection Faster R-CNN part2
09
May
【Lecture 13.5】Object Detection Faster R-CNN part1
05
May
pytorch basic5 _ modeling with 3 API
05
May
pytorch basic4 _ nn module
02
May
pytorch basic3 _ Autograd
02
May
pytorch basic2 _ Tensor
02
May
【Special Course 2】Implementing Inception module using keras Functional API
25
Apr
pytorch basic1 _ Tensor
25
Apr
【Special Course 1】DNN practice & keras overview from Colab
14
Apr
AI,ML,DL 관련 직접 받았던 면접 질문과 셀프 검토
10
Apr
【Lecture 13.4】Fast R-CNN overview & details, ResNet fine-tuning practice
03
Apr
【Lecture 13.3】Object Detection, SPPNET overview & details
28
Mar
스타트업 코딩 페스티벌 2021 2차 후기
27
Mar
【Lecture 13.2】Object Detection, R-CNN details (Special study with laonpeople)
23
Mar
스타트업 코딩 페스티벌 2021 1차 후기
20
Mar
【Lecture 13】Object Detection, R-CNN & SPPNET (Special study with laonpeople)
14
Mar
Ensemble 개념 정리
13
Mar
【Lecture 12.4】VGG , ResNet (Special study with laonpeople)
09
Mar
Github Page 입문을 위한 Jekyll 환경 구축 ( Windows 10)
06
Mar
【Lecture 12.3】GooLeNet (Special study with laonpeople)
01
Mar
SQL 문법 정리 (MySQL)
27
Feb
【Lecture 12.1 , 12.2】 Image Classification , CNN misc part (CSC321 2017 winter)
20
Feb
【Lecture 11】 Convolutional Networks (CSC321 2017 winter)
06
Feb
【Lecture 9】 Generalization (CSC321 2017 winter)
30
Jan
【Lecture 7】 Optimization (CSC321 2017 winter)
14
Jan
【Lecture 6】 Backpropagation (CSC321 2017 winter)
09
Jan
【Lecture 5】 Multilayer Perceptrons (CSC321 2017 winter)
04
Jan
CSC321 스터디 진행 사항 (Toronto Univ. , Roger Grosse )
2020
31
Oct
SVM 개념 정리 및 활용 (sklearn)
30
Oct
마크다운 꿀팁 정리
28
Oct
P-value
28
Oct
Regular Expression
28
Oct
Naive Bayesian 개념 정리 및 활용 (sklearn & R)
27
Oct
KNN 개념 정리 및 활용 (sklearn)
26
Oct
RandomForest 개념 정리 및 활용 (sklearn)
26
Oct
Parametric Vs. Non-parametric (모수적 Vs. 비모수적)
26
Oct
DecisionTree 개념 정리 및 활용 (sklearn)
21
Oct
Types of data and how to analyze
07
Oct
IQR Rule
23
Sep
Git & Github 꿀팁 정리
22
Sep
쉘 명령 정리
20
Sep
Git&Github 개념 정리
19
Sep
Git 문법 정리
18
Sep
마크다운 문법 정리
Recent Update
CSC321 스터디 진행 사항 (Toronto Univ. , Roger Grosse )
【Lecture 13.6】Object Detection YOLO v1
【Lecture 13.5】Object Detection Faster R-CNN part1
【Special Course 2】Implementing Inception module using keras Functional API
【Special Course 1】DNN practice & keras overview from Colab
Trending Tags
deep learning
csc321
cnn
colab
object detection
python
sklearn
git
github
machine learning
Trending Tags
deep learning
csc321
cnn
colab
object detection
python
sklearn
git
github
machine learning