Add reading for week 2

hao-ai-lab · Jan 12, 2025 · fc72758 · fc72758
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commit fc72758
Showing 1 changed file with 12 additions and 0 deletions.
diff --git a/_modules/week-01.md b/_modules/week-01.md
@@ -17,4 +17,16 @@ Jan 7
 Jan 9
 : **2**{: .label} Basics: Modern DL, computational graph, autodiff, frameworks - 1
   : [Slides](assets/slides/jan9.pdf) &#8226; [Recording](https://podcast.ucsd.edu/watch/wi25/cse234_a00/1)
+: **Readings**{: .label .label-reading}
+<!-- : **Readings**{: .label .label-reading} **(Due 1/21)**
+  * **Required**: [2.1 - TensorFlow: A system for large-scale machine learning](https://arxiv.org/abs/1605.08695), [2.2 - PyTorch: An Imperative Style, High-Performance Deep Learning Library](https://arxiv.org/abs/1912.01703), [2.3 - Automatic Differentiation in Machine Learning: a Survey (Page 1 - 14 (Chapter 1 - 3)](https://arxiv.org/pdf/1502.05767)
+  * **Optional**: 2.4 - Pytorch autodiff blogs: [(a) Overview of PyTorch Autograd Engine](https://pytorch.org/blog/overview-of-pytorch-autograd-engine/) [(b) How Computational Graphs are Constructed in PyTorch](https://pytorch.org/blog/computational-graphs-constructed-in-pytorch/), [2.5 - DyNet: The Dynamic Neural Network Toolkit](https://arxiv.org/pdf/1701.03980) -->
+
+Jan 14
+: **2**{: .label} Basics: Modern DL, computational graph, autodiff, frameworks - 2
+  : Slides &#8226; Recording
+: **Readings**{: .label .label-reading} **(Due 1/21)**
+  * **Required**: [2.1 - TensorFlow: A system for large-scale machine learning](https://arxiv.org/abs/1605.08695), [2.2 - PyTorch: An Imperative Style, High-Performance Deep Learning Library](https://arxiv.org/abs/1912.01703), [2.3 - Automatic Differentiation in Machine Learning: a Survey (Page 1 - 14 (Chapter 1 - 3)](https://arxiv.org/pdf/1502.05767)
+  * **Optional**: 2.4 - Pytorch autodiff blogs: [(a) Overview of PyTorch Autograd Engine](https://pytorch.org/blog/overview-of-pytorch-autograd-engine/) [(b) How Computational Graphs are Constructed in PyTorch](https://pytorch.org/blog/computational-graphs-constructed-in-pytorch/), [2.5 - DyNet: The Dynamic Neural Network Toolkit](https://arxiv.org/pdf/1701.03980)
+
 <!-- : **Readings**{: .label .label-reading} -->