Skip to content

Generate the missing heading map for autodiff.md #142

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
mmcky merged 1 commit into from
Jul 23, 2026
Merged

Generate the missing heading map for autodiff.md #142

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion .translate/state/autodiff.md.yml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,4 +3,4 @@ synced-at: "2026-04-08"
model: claude-sonnet-4-6
mode: NEW
section-count: 5
tool-version: 0.13.1
tool-version: 0.22.0
19 changes: 19 additions & 0 deletions lectures/autodiff.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,25 @@ kernelspec:
display_name: Python 3 (ipykernel)
language: python
name: python3
translation:
title: ماجراهایی با مشتق‌گیری خودکار
headings:
Overview: مرور کلی
What is automatic differentiation?: مشتق‌گیری خودکار چیست؟
What is automatic differentiation?::Autodiff is not finite differences: مشتق‌گیری خودکار، تفاضل محدود نیست
What is automatic differentiation?::Autodiff is not symbolic calculus: مشتق‌گیری خودکار، حساب نمادین نیست
What is automatic differentiation?::Autodiff: مشتق‌گیری خودکار
Some experiments: برخی آزمایش‌ها
Some experiments::A differentiable function: یک تابع قابل مشتق‌گیری
Some experiments::Absolute value function: تابع قدر مطلق
Some experiments::Differentiating through control flow: مشتق‌گیری از طریق جریان کنترل
Some experiments::Differentiating through a linear interpolation: مشتق‌گیری از طریق درون‌یابی خطی
Gradient Descent: گرادیان کاهشی
Gradient Descent::A function for gradient descent: یک تابع برای گرادیان کاهشی
Gradient Descent::Simulated data: داده‌های شبیه‌سازی‌شده
Gradient Descent::Minimizing squared loss by gradient descent: کمینه‌سازی تابع زیان مربعات با گرادیان کاهشی
Gradient Descent::Adding a squared term: افزودن یک جمله مربعی
Exercises: تمرین‌ها
---

# ماجراهایی با مشتق‌گیری خودکار
Expand Down
Loading