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
Published

January 26, 2024

Deep Learning Specialization[Course2]

  • Coursera - Professor Andrew Ng, Stanford Univ.

train set, dev set, test set

train set, dev set, test set
Note

train set, dev set, test set

bias, variance, underfitting, overfitting, bayes error

bias, variance, underfitting, overfitting, bayes error
Note

bias, variance, underfitting, overfitting, bayes error

bigger network more data

bigger network more data
Note

bigger network more data

regularization, L2 regularization

regularization, L2 regularization
Note

regularization, L2 regularization

dropout regularization, inverted dropout technique

dropout regularization, inverted dropout technique
Note

dropout regularization, inverted dropout technique

inverted dropout technique

inverted dropout technique
Note

inverted dropout technique

R & Python for AI

  • K-MOOC - Professor Lee Yoon Dong, Sogang Univ.

OOP, piping, chaining

OOP, piping, chaining
Note

OOP, piping, chaining

dplyr, SQL

dplyr, SQL
Note

dplyr, SQL

dplyr, SQL, ggplot

dplyr, SQL, ggplot
Note

dplyr, SQL, ggplot