Deep Learning for Real Beginners

Starting with a focus on practice
A Taste of Deep Learning 🥣

A lecture for those new to deep learning 📖

This course focuses on the content required for the first round of deep learning. The course aims to understand what deep learning is and what problems it can solve. Implementing deep learning models with TensorFlow Keras 2.x is also a key focus.

The lectures avoid in-depth theory as much as possible and focus on practical exercises. Each lecture is connected. When moving from Step A to Step B, the ideas used in Step A are applied to Step B.

What you'll learn 📚

• Introduction to and Use of Google Colaboratory
• Linear Regression & Logistic Regression & Multiclass Classification
• Artificial Neural Network
• Before the CNN

Expected Questions Q&A 💬

Things to note before taking the course 📢

Practice environment

• You just need to have a good internet connection.
• We use Google Colaboratory, so you'll need a Google account.

Learning Materials

• Slides used in the lecture are provided in PDF format.
• An ipynb file for practice is also provided.

Player Knowledge and Precautions

• Basic knowledge of Python
• Option 1) Basic knowledge of numpy, pandas, and matplotlib.pyplot
• Option 2) It would be better if you know what linear regression is.

Introducing the Knowledge Sharer ✒️

• I am currently working at an education startup.
• I have lecture experience at companies such as KT, SK C&C, and SK Networks.