I love how clearly you explain things in your lectures!

However, I was wondering where I can find the lecture materials?
I also took the Numpy & Pandas course, but I'm leaving this message because I couldn't figure out where to access the materials!

gschargevcomm5115

Based on over 100 deep learning training sessions, this course systematically organizes the core foundational theories that students found most challenging.
The course connects mathematical intuition, model learning principles, and code implementation step by step in a way that even non-majors can understand, deeply covering the fundamental structure and operating principles of how AI models learn, rather than just library usage.
This is a practical introductory course designed to help you grow into a skilled engineer who understands AI principles by implementing core deep learning foundational technologies such as gradient descent, loss functions, optimization, perceptrons, multilayer neural networks, and backpropagation through both formulas and code.

fasoft

(First Steps in Deep Learning Modeling) Master the Core Theory of Deep Learning from Gradient Descent to Backpropagation with Formulas and Code!

딥러닝입문

딥러닝기초

tensorflow

Tensorflow

경사하강법

딥러닝모델

입문

초급

중급이상

파이썬

Python

텐서플로

넘파이

Numpy

Deep Learning(DL)

1. AI Basic Concepts & Understanding Modeling

2. Regression Analysis & Easy Summary of Mathematical Concepts

Complete Mastery of Gradient Descent

Numpy Advanced & TensorFlow Basics

Machine Learning Workflow & TensorFlow Advanced Practice

Linear Regression & Multiple Regression Practical Modeling

Classification Models · Neural Networks · Backpropagation