lec4 slides

hao-ai-lab · Apr 11, 2024 · 2386bf6 · 2386bf6
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diff --git a/_modules/week-01.md b/_modules/week-01.md
@@ -6,11 +6,11 @@ status: Active
 
 Apr 2
 : **1**{: .label} Introduction
-  : [Slides](assets/slides/1_Logistics.pdf) &#8226; [Recording](https://podcast.ucsd.edu/watch/sp24/dsc291_d00)
+  : [Slides](assets/slides/1_Logistics.pdf) &#8226; [Recording](https://podcast.ucsd.edu/watch/sp24/dsc291_d00/1)
 : *Reading:* N/A
 : **Survey**{: .label .label-lab} [Beginning of Quarter Survey](https://forms.gle/XMAjCkgpBhF7Kw8A8)
 
 Apr 4
 : **2**{: .label} Basics: Deep learning, computational graph, autodiff, ML frameworks - 1
-  : [Slides](assets/slides/2_machine-learning-program.pdf) &#8226; [Recording](https://podcast.ucsd.edu/watch/sp24/dsc291_d01)
+  : [Slides](assets/slides/2_machine-learning-program.pdf) &#8226; [Recording](https://podcast.ucsd.edu/watch/sp24/dsc291_d00/2)
 : *Reading:* N/A
diff --git a/_modules/week-02.md b/_modules/week-02.md
@@ -6,15 +6,15 @@ status: Active
 
 Apr 9
 : **3**{: .label} Basics: Deep learning, computational graph, autodiff, ML frameworks - 2
-  : [Slides](assets/slides/3_autodiff-and-mlsys-overview.pdf) &#8226; [Recording](https://podcast.ucsd.edu/watch/sp24/dsc291_d02)
+  : [Slides](assets/slides/3_autodiff-and-mlsys-overview.pdf) &#8226; [Recording](https://podcast.ucsd.edu/watch/sp24/dsc291_d00/3)
 : *Reading:*
 * [TensorFlow: A system for large-scale machine learning (required)](https://arxiv.org/pdf/1605.08695.pdf)
 * [PyTorch Distributed: Experiences on Accelerating Data Parallel Training (optional)](https://arxiv.org/pdf/2006.15704.pdf)
 * [Petuum: A New Platform for Distributed Machine Learning on Big Data (optional)](https://arxiv.org/pdf/1312.7651.pdf)
 
 Apr 11
 : **4**{: .label} 
-  <!--: [Slides]() &#8226; [Recording]()-->
+  : [Slides](assets/slides/4_acceleration-and-gpus.pdf) &#8226; [Recording](https://podcast.ucsd.edu/watch/sp24/dsc291_d00/4)
 : *Reading:*
 * [TensorFlow: A system for large-scale machine learning (required)](https://arxiv.org/pdf/1605.08695.pdf)
 * [PyTorch Distributed: Experiences on Accelerating Data Parallel Training (optional)](https://arxiv.org/pdf/2006.15704.pdf)

diff --git a/assets/slides/4_acceleration-and-gpus.pdf b/assets/slides/4_acceleration-and-gpus.pdf