I don't really want to do it, but I keep going because I don't want to fall behind and I'm afraid of getting backlogged. I think I'll be able to finish reading it all. Thank you.

unnidev

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

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Deep Learning(DL)

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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