Update resources.md

docs/resources.md

@@ -6,49 +6,49 @@ layout: home
 
 ### [Server Form](https://forms.gle/zybsuJ7CwQCXeHni6)
 
-### HW 0 (Math)
+### Week 1: Background Review (Math)
 - [Princeton NEU 314](http://pillowlab.princeton.edu/teaching/mathtools16/slides/lec10_LeastSquaresRegression.pdf) Sections 1 through 2.1 (Least squares with vector calculus)
 - [Stanford cheat sheets](https://stanford.edu/~shervine/teaching/) on ML and math
 - [Calculus for ML](https://ml-cheatsheet.readthedocs.io/en/latest/calculus.html) cheat sheet
 - [Linear Algebra Review](/fa24-nmep/assets/resources/linalg-review.pdf)
 
-### Intro to ML
+### Week 1: Intro to ML
 - [Pandas API reference](https://pandas.pydata.org/pandas-docs/stable/reference/index.html)
 - [Numpy API reference](https://numpy.org/doc/stable/reference/)
 - [Data 100](https://ds100.org) (specifically the [course notes](https://ds100.org/course-notes/pandas_1/pandas_1.html))
 - [CS197 Harvard](https://docs.google.com/document/d/1dA8KmOTZePMRl3MixxM6Fb0H8IJhIyn_g-LUXbRHeqU): Moonwalking with PyTorch (neural networks!)
 
-### Classical ML
+### Week 2: Classical ML
 - [Bias and Variance](https://www.youtube.com/watch?v=EuBBz3bI-aA)
 - [Gradient Descent](https://www.youtube.com/watch?v=qg4PchTECck)
 - [A Guided Tour Through Classical Machine Learning Algorithms](https://learn.mathnai.com/module/ml/guided-tour-classical-ml-algorithms/)
 
-### Deep Learning
+### Week 3: Deep Learning
 - [3Blue1Brown Course](https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&si=q1tAqWSEEH612y2C)
 - [Deep Dive on Back Prop Video](https://youtu.be/SmZmBKc7Lrs?si=f4kFtNGFCjf54Cxc)
 - [Optimizers](https://www.youtube.com/watch?v=MD2fYip6QsQ)
 - [Micrograd - Try to Build Backprop Yourself](https://www.youtube.com/watch?v=VMj-3S1tku0&t=1s) (by Andrej Karpathy!)
 
-### Convultions & CNNs
+### Week 4: Convoltions & CNNs
 - [Understanding Convolutions](https://drive.google.com/drive/folders/1e4C7s3pEPt2lLirIu02DiUdKlKlvsMo5?usp=sharing) (old NMEP HW!)
 - [CNNs Visualized](https://www.youtube.com/watch?v=pj9-rr1wDhM)
 - [Simple CNN Explanation](https://www.youtube.com/watch?v=zfiSAzpy9NM)
 - [MIT Convolutional Neural Networks](https://youtu.be/NmLK_WQBxB4?t=335&feature=shared) 
 - [Convolutional Neural Networks](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) (LeNet)
 
-### Object Detection
-- [Understanding of Object Detection](https://iopscience.iop.org/article/10.1088/1742-6596/1004/1/012029/pdf)
-- [A comprehensive review of object detection](https://www.sciencedirect.com/science/article/pii/S1051200422004298)
-- [Deep learning models for classification](https://metana.io/blog/deep-learning-models-for-classification-a-comprehensive-guide/)
-
-### Transformers
+### Week 5 & 6: Transformers
 - [Data C182](https://datac182fa24.github.io/) (part [2](https://datac182fa24.github.io/assets/lecture_slides/data182_Lecture12_Transformers_Part2.pdf) and part [4](https://datac182fa24.github.io/assets/lecture_slides/data182_Lecture14_Transformers_Part4.pdf) of the lecture on transformers)
 - [The Illustrated Transformer](https://jalammar.github.io/illustrated-transformer/)
 - [Constituency Parsing](https://nlpprogress.com/english/constituency_parsing.html)
 - [Machine Translation Evaluation Metrics](https://aclanthology.org/2023.wmt-1.96.pdf)
 - [Show, Attend, and Tell: Neural Image Caption Generation](https://arxiv.org/abs/1502.03044) (all about visual transformers)
 
-### GANs
+### Week 8: Object Detection
+- [Understanding of Object Detection](https://iopscience.iop.org/article/10.1088/1742-6596/1004/1/012029/pdf)
+- [A comprehensive review of object detection](https://www.sciencedirect.com/science/article/pii/S1051200422004298)
+- [Deep learning models for classification](https://metana.io/blog/deep-learning-models-for-classification-a-comprehensive-guide/)
+
+### Week 10: GANs
 - [Foundational Paper](https://arxiv.org/pdf/1406.2661)
 - [Unsupervised Representational Learning with GANs](https://arxiv.org/pdf/1511.06434)
 - [Generating Basketball Shoes](https://connorshorten300.medium.com/generating-basketball-shoes-with-dcgans-6cd72d521c01)