TIL on FRI

train set
dev set
test set
bias
variance
underfitting
overfitting
bayes error
bigger network more data
regularization
L2 regularization
dropout regularization
inverted dropout technique
OOP
piping
chaining
dplyr
SQL
ggplot
공개

2024년 1월 26일

Deep Learning Specialization[Course2]

  • Coursera - Professor Andrew Ng, Stanford Univ.

train set, dev set, test set

train set, dev set, test set
노트

train set, dev set, test set

bias, variance, underfitting, overfitting, bayes error

bias, variance, underfitting, overfitting, bayes error
노트

bias, variance, underfitting, overfitting, bayes error

bigger network more data

bigger network more data
노트

bigger network more data

regularization, L2 regularization

regularization, L2 regularization
노트

regularization, L2 regularization

dropout regularization, inverted dropout technique

dropout regularization, inverted dropout technique
노트

dropout regularization, inverted dropout technique

inverted dropout technique

inverted dropout technique
노트

inverted dropout technique

인공지능을 위한 R과 Python

  • K-MOOC 서강대 이윤동 교수님

OOP, piping, chaining

OOP, piping, chaining
노트

OOP, piping, chaining

dplyr, SQL

dplyr, SQL
노트

dplyr, SQL

dplyr, SQL, ggplot

dplyr, SQL, ggplot
노트

dplyr, SQL, ggplot