new post: reverse mode autodiff

flothesof · Feb 13, 2024 · 155383a · 155383a
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diff --git a/content/20180127_RayTracingNumpyAutograd.md b/content/20180127_RayTracingNumpyAutograd.md
@@ -3,7 +3,7 @@ lang: en
 date: 2018-01-28 00:05
 comments: true
 slug: ray-tracing-numpy-autograd
-Tags: Physics, Numerical physics
+Tags: Physics, Numerical physics, Derivatives
 Category: Python
 Summary: Following a recent tweet, this blog post investigates the use of autograd for the ray tracing problem in the context of numerical computing with Numpy.
 

diff --git a/content/20240212_AutoDiffReverseMode.md b/content/20240212_AutoDiffReverseMode.md
@@ -0,0 +1,11 @@
+Title: A tiny reverse mode automatic differentiation example
+lang: en
+date: 2024-02-13 11:02
+comments: true
+slug: tiny-reverse-mode-automatic-differentiation-example
+Tags: Mathematics, Derivatives
+Category: Python
+Image: /images/thumbnail_20240212_AutoDiffReverseMode.png
+Summary: A step further towards understanding automatic differentiation, this time with a tiny example of how to apply the reverse mode.
+
+{% notebook posts/20240212_AutoDiffReverseMode.ipynb cells[:] %}
diff --git a/content/images/thumbnail_20240212_AutoDiffReverseMode.png b/content/images/thumbnail_20240212_AutoDiffReverseMode.png
diff --git a/content/posts b/content/posts