I think I was able to read the whole book because we did the challenge together with a shared goal. It would be great to do Deep Learning from Scratch 2, 3, 4, and 5 as well!

singon571586

If you’ve wanted to start deep learning "properly" but have always hesitated in the face of formulas and terminology, let’s try a different approach this time. This completion challenge is a 3-week journey to read <Deep Learning from Scratch 1 (Remastered Edition)>, where we understand the principles by "implementing core concepts from scratch" rather than relying on frameworks.

Starting from perceptrons, this book steps through neural networks, learning (loss functions and gradients), backpropagation, and training techniques, eventually leading to the basics of Convolutional Neural Networks (CNN) and image recognition.

Complex concepts are explained through visual computational graphs, and the exercises are designed to turn "knowing" into "doing" by having you follow along and code directly in Python.

hanbit

[3-Week Course] "Deep Learning from Scratch 1" Completion Challenge with the Translator

딥러닝입문

딥러닝기초

딥러닝머신러닝

밑바닥부터시작하는딥러닝

입문

초급

중급이상

Deep Learning(DL)

합성곱신경망

Week 1: Deep Learning Warm-up and Neural Network Architecture (CHAPTER 1 ~ 3)

Week 2: The Heart of Deep Learning, Training and Backpropagation (CHAPTER 4 ~ 5)

Week 3: Mastering CNNs and the Future of Deep Learning