From bc989fd36fb6d15717ea259653a05685e4fcabe3 Mon Sep 17 00:00:00 2001 From: Vijay Janapa Reddi Date: Wed, 16 Jul 2025 08:24:36 -0400 Subject: [PATCH] Add prominent author attribution - Added 'Prof. Vijay Janapa Reddi (Harvard University)' right after title - Positioned prominently for proper academic/course attribution - Matches book config author field for consistency - Standard practice for educational materials and courses --- book/intro.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/book/intro.md b/book/intro.md index 10153bde..5d6d446e 100644 --- a/book/intro.md +++ b/book/intro.md @@ -2,8 +2,6 @@ **Most ML education teaches you to _use_ frameworks. TinyTorch teaches you to _build_ them.** -TinyTorch is an educational framework designed specifically for learning by building. Instead of using PyTorch or TensorFlow, you implement every component from scratch: tensors, autograd, optimizers, even MLOps monitoring. This hands on approach develops the deep systems understanding that distinguishes ML engineers from ML users. - ```{admonition} 🎯 What You'll Build :class: tip **A complete ML framework from scratch**: your own PyTorch style toolkit that can: @@ -15,6 +13,8 @@ TinyTorch is an educational framework designed specifically for learning by buil **Result:** You become the expert others ask about "how PyTorch actually works." ``` +TinyTorch is an educational framework designed specifically for learning by building. Instead of using PyTorch or TensorFlow, you implement every component from scratch: tensors, autograd, optimizers, even MLOps monitoring. This hands on approach develops the deep systems understanding that distinguishes ML engineers from ML users. + --- ## 💡 **The Core Difference**