Although it has some very basic parts, it seems like a lecture that will help develop coding logic skills by only using basic logical coding methods without using specific function features.

hashjamm

This course will teach you the basics of Python to learn deep learning.

asdfghjkl13551941

[Deep Learning Expert Course DL1101] Python Level 1 for Deep Learning

입문

초급

중급이상

파이썬

Python

Deep Learning(DL)

아나콘다

Anaconda

Exercise Group.1: Introduction to the lecture / Variables and operators / Mean and Mean Subtraction

Exercise Group.2: Variance and Standard Deviation / Standardization

Exercise Group.3 Vector Operations

Exercise Group.4: Euclidean Distance, Mean Squared Error

Exercise Group.5: List / Mean Subtraction / Standardization

Exercise Group.6: List / Vector Operations / Euclidean Distance / Mean Squared Error

Exercise Group.7: Basic usage of For loop

Exercise Group.8: For loop / Mean and Mean Subtraction

Exercise Group.9: For loop / Variance and standard deviation / Standardization

Exercise Group.10: For loop / Vector Operations / Euclidean Distance / Mean Squared Error

Exercise Group.11: Basic usage of If statement

Exercise Group.12: If statement practice / Finding maximum and minimum values

Exercise Group.13: Finding maximum and minimum values / Normalization / Finding the location of maximum and minimum values

Exercise Group.14: (Mini Project) Implementing Sorting

Exercise Group.15: Accuracy / Confusion Vector / Histogram / Finding Absolute Value / Manhattan Distance

Exercise Group.16: 2D Data & Nested List / Finding the average score by student and subject

Exercise Group.17: Mean Subtraction, Standardization for 2-Dimensional Data

Exercise Group.18: Vector Operations on 2-Dimensional Data

Exercise Group.19: Euclidean Distance for 2-dimensional Data / Finding the highest score and best student in each subject / One-hot Encoding

Exercise Group.20: Matrix Operations Using 2D Data

Exercise Group.21: Outro