delete biophysical for a moment

awxlong · Nov 15, 2023 · c18bcd7 · c18bcd7
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diff --git a/_posts/2023-10-31-sgd.md b/_posts/2023-10-31-sgd.md
@@ -7,7 +7,7 @@ tags: food-for-thought creative-work
 categories: blog-post
 disqus_comments: true
 related_posts: true
-thumbnail: /assets/img/sgd4life.PNG.png
+thumbnail: /assets/img/sgd4life.png
 toc:
     sidebar: left
 ---
@@ -38,7 +38,7 @@ The stochasticity of gradient descent is mainly derived from the order and the s
 Given these precedents, I wanted to depict my desire to see in the future a kind of "structured" gradient descent (which in English coincides with the same acronym as stochastic gradient descent): 
 
 <figure>
-  <img src="/assets/img/sgd4life.PNG.png" alt="Sorry, an unanticipated error occured and the image can't load." width="100%" height="auto">
+  <img src="/assets/img/sgd4life.png" alt="Sorry, an unanticipated error occured and the image can't load." width="100%" height="auto">
   <figcaption id="sgd"> Not an actual depiction of structured gradient descent, but nonetheless a cool logo. </figcaption>
 </figure>
 
@@ -52,6 +52,6 @@ The unanswered questions that follow would include:
     - Most importantly, would more intricately labeled data compensate for low data?
 
 <figure>
-  <img src="/assets/img/structuredgd.PNG.png" alt="Sorry, an unanticipated error occured and the image can't load." width="100%" height="auto">
+  <img src="/assets/img/structuredgd.png" alt="Sorry, an unanticipated error occured and the image can't load." width="100%" height="auto">
   <figcaption id="sgd"> A (hopefully) cool logo of SGD</figcaption>
 </figure>
diff --git a/_posts/2023-11-3-biophysical.md → _posts/biophysical.md b/_posts/2023-11-3-biophysical.md → _posts/biophysical.md