From 9e9bcde9745b448fef6c8a67529cd909eb7d541e Mon Sep 17 00:00:00 2001 From: Vijay Janapa Reddi Date: Sun, 20 Jul 2025 10:06:38 -0400 Subject: [PATCH] =?UTF-8?q?=E2=9C=A8=20Add=20structural=20organization=20h?= =?UTF-8?q?eaders=20to=2010=5Foptimizers=20module?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Added ## 🔧 DEVELOPMENT section before Step 1 where development begins - Added ## 🤖 AUTO TESTING section before nbgrader block - Updated to ## 🎯 MODULE SUMMARY: Optimization Algorithms Improves notebook organization without changing any code logic or content. --- modules/source/10_optimizers/optimizers_dev.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/modules/source/10_optimizers/optimizers_dev.py b/modules/source/10_optimizers/optimizers_dev.py index d4186ae6..a863feaa 100644 --- a/modules/source/10_optimizers/optimizers_dev.py +++ b/modules/source/10_optimizers/optimizers_dev.py @@ -151,6 +151,11 @@ But **naive gradient descent** has problems: 4. **Integration**: Complete training loop with optimizers """ +# %% [markdown] +""" +## 🔧 DEVELOPMENT +""" + # %% [markdown] """ ## Step 1: Understanding Gradient Descent @@ -1424,6 +1429,11 @@ Time to test your implementation! This section uses TinyTorch's standardized tes **This testing section is locked** - it provides consistent feedback across all modules and cannot be modified. """ +# %% [markdown] +""" +## 🤖 AUTO TESTING +""" + # %% nbgrader={"grade": false, "grade_id": "standardized-testing", "locked": true, "schema_version": 3, "solution": false, "task": false} # ============================================================================= # STANDARDIZED MODULE TESTING - DO NOT MODIFY @@ -1446,7 +1456,7 @@ if __name__ == "__main__": # %% [markdown] """ -## 🎯 Module Summary: Optimization Mastery! +## 🎯 MODULE SUMMARY: Optimization Algorithms Congratulations! You've successfully implemented the optimization algorithms that power all modern neural network training: