Introduction to Deep Learning Series 📖

Hello! Welcome to the world of Deep Learning, created by [Engineering Student] :)
Deep Learning is a relatively new discipline, so there is no systematic curriculum yet.

While there are certainly numerous educational resources on deep learning , when conducting actual research and development, you'll need to go far beyond these resources and engage in self-directed learning. This is because most lectures tend to offer overviews of various concepts to cover the entirety of deep learning.

Let's take an example. Typically, lectures cover " Residual Networks" for a few dozen minutes at the shortest, or an hour at the longest. What would happen if you took this course and actually worked on a project?
We research and develop through countless additional resources and trial and error.
How great would it be if there was a lecture that focused solely on Residual Networks?

[Engineering Student]'s Deep Learning Series was created for these people 🙉

As shown above, the world of Deep Learning encompasses countries both large and small. Through this Deep Learning Series, you can travel to any country you desire. You can stay in one country for a long time to gain a deeper understanding of it, or you can travel to several countries more casually. Over time, I expect you to become experts in all of these countries!

Introduction to the Course 😉

Many deep learning researchers and developers recommend that when you're looking for a place to study convolutional neural networks, you first visit LeNet. Why is that?

LeNet is the network that heralded the beginning of CNN. This means you'll hear the story of CNN's founding and learn about the background that shaped the modern world of deep learning. While LeNet may seem small and shabby at first glance, it's the perfect travel destination to learn about the country's traditions and culture!

Before LeNet laid the foundation for the world of deep learning, the world was awash with pain and adversity. And on the battlefield of image classification, researchers tirelessly worked to develop the optimal tools to combat the incoming enemy.

At this point, a man named Yann LeCun appears and says this.

I will give you an all-purpose weapon that can defeat any enemy.

- Yann Lecun (1998)

Since then, people have refined this universal weapon, creating the world of deep learning we know today. You will learn the core of this universal weapon in a small village called LeNet.

Let's Go 🛫

Following the guide's instructions, you will first learn about the background behind Yann LeCun's development of the universal weapon.

And you can inherit the spirit of Yann LeCun by reading his classic book [Gradient-Based Learning Applied to Document Recognition] with me.

LeCun, Yann, et al. “Gradient-based learning applied to document recognition.” Proceedings of the IEEE 86.11 (1998): 2278-2324.

Afterwards, you will create this versatile weapon called LeNet at the village blacksmith shop and experience firsthand how groundbreaking a development it was at the time.

So, let's go together to the village called LeNet created by Yann LeCun!