From a435ca8ba5d3b23644a1d76cf9c020d6cd1ce8ed Mon Sep 17 00:00:00 2001 From: Vijay Janapa Reddi Date: Sun, 20 Jul 2025 09:58:34 -0400 Subject: [PATCH] =?UTF-8?q?=E2=9C=A8=20Add=20structural=20organization=20h?= =?UTF-8?q?eaders=20to=2005=5Fdense=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 auto testing block - Updated to ## 🎯 MODULE SUMMARY: Neural Network Architectures Improves notebook organization without changing any code logic or content. --- modules/source/05_dense/dense_dev.py | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/modules/source/05_dense/dense_dev.py b/modules/source/05_dense/dense_dev.py index 77cfbede..8dc6cd7c 100644 --- a/modules/source/05_dense/dense_dev.py +++ b/modules/source/05_dense/dense_dev.py @@ -104,6 +104,11 @@ from tinytorch.core.tensor import Tensor # Foundation - **Integration:** Works seamlessly with layers, activations, and tensors """ +# %% [markdown] +""" +## 🔧 DEVELOPMENT +""" + # %% [markdown] """ ## Step 1: Understanding Neural Networks as Function Composition @@ -637,8 +642,8 @@ try: print("✅ All network architectures work correctly") - # Plot the architectures if not in test mode - plot_network_architectures() + # Plot the architectures if not in test mode + plot_network_architectures() except Exception as e: print(f"❌ Architecture test failed: {e}") @@ -947,6 +952,12 @@ def test_module_full_network_forward_pass(): assert output_tensor.shape == (5, 2), f"Expected output shape (5, 2), but got {output_tensor.shape}" print("✅ Integration Test Passed: Full network forward pass is successful.") +# %% [markdown] +""" +## 🤖 AUTO TESTING +""" + +# %% if __name__ == "__main__": test_module_full_network_forward_pass() from tito.tools.testing import run_module_tests_auto @@ -956,7 +967,7 @@ if __name__ == "__main__": # %% [markdown] """ -## 🎯 Module Summary: Neural Network Architectures Mastery! +## 🎯 MODULE SUMMARY: Neural Network Architectures Congratulations! You've successfully implemented complete neural network architectures: