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Adding Updated schedule for w25.
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opipari committed Jan 7, 2025
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6 changes: 3 additions & 3 deletions _includes/footer_custom.html
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16 changes: 5 additions & 11 deletions _modules/week-01.md
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title: Week 1
---

Jan 10
: [**Dis 1**]({{ site.baseurl }}/assets/slides/deeprob_discussion_01_introduction.pdf){: #dis-1 .label .label-blue target="_blank" rel="noopener noreferrer" } [Course Introduction]({{ site.baseurl }}/assets/slides/deeprob_discussion_01_introduction.pdf){: target="_blank" rel="noopener noreferrer"}
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/qxZzvM){: target="_blank" rel="noopener noreferrer"}
: [**Project 0 out**{: .label .label-yellow }]({{ site.baseurl }}/projects/project0/){: .project-link}

Jan 11
: [**Lec 1**]({{ site.baseurl }}/assets/slides/deeprob_lecture_01_image_classification.pdf){: #lec-1 .label .label-purple target="_blank" rel="noopener noreferrer" } [Image Classification]({{ site.baseurl }}/assets/slides/deeprob_lecture_01_image_classification.pdf){: target="_blank" rel="noopener noreferrer"}
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/SQ9WWa){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 GBC Ch. 1](https://www.deeplearningbook.org/contents/intro.html){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 231n Image Classification](https://cs231n.github.io/classification/){: target="_blank" rel="noopener noreferrer"}
Jan 8
: **Lec 1**{: #lec-1 .label .label-purple target="_blank" rel="noopener noreferrer" } **Course Introduction**
: **Project 0 out**{: .label .label-yellow }





35 changes: 15 additions & 20 deletions _modules/week-02.md
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title: Week 2
---

Jan 16
: [**Lec 2**]({{ site.baseurl }}/assets/slides/deeprob_lecture_02_linear_classifiers.pdf){: #lec-2 .label .label-purple target="_blank" rel="noopener noreferrer"} [Linear Classifiers]({{ site.baseurl }}/assets/slides/deeprob_lecture_02_linear_classifiers.pdf){: target="_blank" rel="noopener noreferrer"}
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/PErYYB){: target="_blank" rel="noopener noreferrer"}
Jan 13
: **Lec 2**{: #lec-2 .label .label-purple target="_blank" rel="noopener noreferrer" } **Image Classification**
: &nbsp;
: [📖 231n Linear Classification](https://cs231n.github.io/linear-classify/){: target="_blank" rel="noopener noreferrer"}
: [📖 GBC Ch. 1](https://www.deeplearningbook.org/contents/intro.html){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 231n Image Classification](https://cs231n.github.io/classification/){: target="_blank" rel="noopener noreferrer"}


Jan 17
: [**Dis 2**]({{ site.baseurl }}/assets/slides/deeprob_discussion_02_pytorch.pdf){: #dis-2 .label .label-blue target="_blank" rel="noopener noreferrer" } [Intro to Python and Pytorch]({{ site.baseurl }}/assets/slides/deeprob_discussion_02_pytorch.pdf){: target="_blank" rel="noopener noreferrer" }
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/XcpmTc){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [![]({{ site.baseurl }}/assets/logos/Jupyter.svg){: .module-logo } **Notebook**]({{ site.baseurl }}/assets/labs/deeprob_discussion_02_pytorch.ipynb)
Jan 14
: **Dis 1**{: #dis-1 .label .label-blue target="_blank" rel="noopener noreferrer" } **Intro to Python and Pytorch**



Jan 15
: **Lec 3**{: #lec-3 .label .label-purple target="_blank" rel="noopener noreferrer"} **Linear Classifiers**
: **Project 0 due**{: .label .label-red } **Project 1 out**{: .label .label-yellow }
: [📖 231n Linear Classification](https://cs231n.github.io/linear-classify/){: target="_blank" rel="noopener noreferrer"}




Jan 18
: [**Lec 3**]({{ site.baseurl }}/assets/slides/deeprob_lecture_03_regularization_optimization.pdf){: #lec-3 .label .label-purple target="_blank" rel="noopener noreferrer" } [Regularization + Optimization]({{ site.baseurl }}/assets/slides/deeprob_lecture_03_regularization_optimization.pdf){: target="_blank" rel="noopener noreferrer" }
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/Paw9cL){: target="_blank" rel="noopener noreferrer"}
: [**Project 0 due**{: .label .label-red }]({{ site.baseurl }}/projects/project0/){: .project-link} [**Project 1 out**{: .label .label-yellow }]({{ site.baseurl }}/projects/project1/){: .project-link}
: [📖 231n Optimization](https://cs231n.github.io/optimization-1/){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 GBC Sec 8.1-8.6](https://www.deeplearningbook.org/contents/optimization.html){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Li et al., Visualizing Loss Landscaps](https://arxiv.org/abs/1712.09913){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Goh, Why Momentum Really Works](https://distill.pub/2017/momentum/){: target="_blank" rel="noopener noreferrer"}
31 changes: 10 additions & 21 deletions _modules/week-03.md
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title: Week 3
---

Jan 23
: [**Lec 4**]({{ site.baseurl }}/assets/slides/deeprob_lecture_04_neural_networks.pdf){: #lec-4 target="_blank" rel="noopener noreferrer" .label .label-purple } [Neural Networks]({{ site.baseurl }}/assets/slides/deeprob_lecture_04_neural_networks.pdf){: target="_blank" rel="noopener noreferrer" }
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/fz62cA){: target="_blank" rel="noopener noreferrer"}
: [**Quiz 1**](https://www.gradescope.com/courses/704549/){: .label .label-orange target="_blank" rel="noopener noreferrer" }
: [📖 231n Neural Networks](https://cs231n.github.io/neural-networks-1/){: target="_blank" rel="noopener noreferrer" }
Jan 20
: [**MLK Day-No Class**](https://oami.umich.edu/mlk-symposium/){: target="_blank" rel="noopener noreferrer" }
: &nbsp;
: [📖 GBC Sec 6.1-6.4](https://www.deeplearningbook.org/contents/mlp.html){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Nielsen, Universal Approximation](http://neuralnetworksanddeeplearning.com/chap4.html){: target="_blank" rel="noopener noreferrer"}



Jan 24
: [**Dis 3**]({{ site.baseurl }}/assets/slides/deeprob_discussion_03_props_dataset.pdf){: #dis-3 target="_blank" rel="noopener noreferrer" .label .label-blue } [Intro to PROPS Dataset]({{ site.baseurl }}/assets/slides/deeprob_discussion_03_props_dataset.pdf){: target="_blank" rel="noopener noreferrer" }
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/LZCBqF){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [![]({{ site.baseurl }}/assets/logos/Jupyter.svg){: .module-logo } **Notebook**]({{ site.baseurl }}/assets/labs/deeprob_discussion_03_props.zip)
Jan 21
: **Dis 2**{: #dis-2 target="_blank" rel="noopener noreferrer" .label .label-blue } **Intro to PROPS Dataset**
: &nbsp;
: [📖 Chen et al., ProgressLabeller](https://arxiv.org/abs/2203.00283){: target="_blank" rel="noopener noreferrer"}



Jan 25
: [**Lec 5**]({{ site.baseurl }}/assets/slides/deeprob_lecture_05_backpropagation.pdf){: #lec-5 target="_blank" rel="noopener noreferrer" .label .label-purple } [Backpropagation]({{ site.baseurl }}/assets/slides/deeprob_lecture_05_backpropagation.pdf){: target="_blank" rel="noopener noreferrer"}
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/mxxzyw){: target="_blank" rel="noopener noreferrer"}
Jan 22
: **Lec 4**{: #lec-4 .label .label-purple target="_blank" rel="noopener noreferrer" } **Regularization + Optimization**
: [📖 231n Optimization](https://cs231n.github.io/optimization-1/){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 cs231n Backpropagation](https://cs231n.github.io/optimization-2/){: target="_blank" rel="noopener noreferrer"}
: [📖 GBC Sec 8.1-8.6](https://www.deeplearningbook.org/contents/optimization.html){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 GBC Sec 6.5-6.6](https://www.deeplearningbook.org/contents/mlp.html#pf25){: target="_blank" rel="noopener noreferrer"}
: [📖 Li et al., Visualizing Loss Landscaps](https://arxiv.org/abs/1712.09913){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Olah, Backpropagation](http://colah.github.io/posts/2015-08-Backprop/){: target="_blank" rel="noopener noreferrer"}
: [📖 Goh, Why Momentum Really Works](https://distill.pub/2017/momentum/){: target="_blank" rel="noopener noreferrer"}



41 changes: 16 additions & 25 deletions _modules/week-04.md
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title: Week 4
---

Jan 30
: [**Lec 6**]({{ site.baseurl }}/assets/slides/deeprob_lecture_06_cnns.pdf){: #lec-6 target="_blank" rel="noopener noreferrer" .label .label-purple } [Convolutional Neural Networks]({{ site.baseurl }}/assets/slides/deeprob_lecture_06_cnns.pdf){: target="_blank" rel="noopener noreferrer" }
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/oR1QCI){: target="_blank" rel="noopener noreferrer"}
: [**Quiz 2**](https://www.gradescope.com/courses/704549/){: .label .label-orange target="_blank" rel="noopener noreferrer" }
: [📖 cs231n ConvNets](https://cs231n.github.io/convolutional-networks/){: target="_blank" rel="noopener noreferrer"}
Jan 27
: **Lec 5**{: #lec-5 target="_blank" rel="noopener noreferrer" .label .label-purple } **Neural Networks I**
: &nbsp;
: [📖 GBC Ch. 9](https://www.deeplearningbook.org/contents/convnets.html){: target="_blank" rel="noopener noreferrer"}
: [📖 231n Neural Networks](https://cs231n.github.io/neural-networks-1/){: target="_blank" rel="noopener noreferrer" }
: &nbsp;
: [📖 Araujo et al., Receptive Fields of CNNs](https://distill.pub/2019/computing-receptive-fields/){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Olah et al., Feature Visualization](https://distill.pub/2017/feature-visualization/){: target="_blank" rel="noopener noreferrer"}
: [📖 GBC Sec 6.1-6.4](https://www.deeplearningbook.org/contents/mlp.html){: target="_blank" rel="noopener noreferrer"}


Jan 31
: **Dis 4**{: #lab-4 target="_blank" rel="noopener noreferrer" .label .label-blue } Gradient Help
: [📖 Krizhevsky et al., AlexNet](https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Xiang et al., PoseCNN](https://arxiv.org/abs/1711.00199){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Mildenhall et al., NeRF](https://arxiv.org/abs/2003.08934){: target="_blank" rel="noopener noreferrer"}


Jan 28
: **Dis 3**{: #lab-3 target="_blank" rel="noopener noreferrer" .label .label-blue } **Neural Networks II**
: &nbsp;
: [📖 Nielsen, Universal Approximation](http://neuralnetworksanddeeplearning.com/chap4.html){: target="_blank" rel="noopener noreferrer"}


Feb 1
: [**Lec 7**]({{ site.baseurl }}/assets/slides/deeprob_lecture_07_cnn_architectures.pdf){: #lec-7 target="_blank" rel="noopener noreferrer" .label .label-purple } [CNN Architectures]({{ site.baseurl }}/assets/slides/deeprob_lecture_07_cnn_architectures.pdf){: target="_blank" rel="noopener noreferrer"}
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/iv82dH){: target="_blank" rel="noopener noreferrer"}
: [**Quiz 3**](https://www.gradescope.com/courses/704549/){: .label .label-orange target="_blank" rel="noopener noreferrer" } [**Project 1 due**{: .label .label-red }]({{ site.baseurl }}/projects/project1/){: .project-link} [**Project 2 out**{: .label .label-yellow }]({{ site.baseurl }}/projects/project2/){: .project-link}
: [📖 Krizhevsky et al., AlexNet](https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Simonyan and Zisserman, VGG](https://arxiv.org/abs/1409.1556){: target="_blank" rel="noopener noreferrer"}

Jan 29
: **Lec 6**{: #lec-6 target="_blank" rel="noopener noreferrer" .label .label-purple } **Backpropagation**
: **Project 1 due**{: .label .label-red } **Project 2 out**{: .label .label-yellow }
: [📖 cs231n Backpropagation](https://cs231n.github.io/optimization-2/){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Szegedy et al., GoogLeNet](https://arxiv.org/abs/1409.4842){: target="_blank" rel="noopener noreferrer"}
: [📖 GBC Sec 6.5-6.6](https://www.deeplearningbook.org/contents/mlp.html#pf25){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 He et al., ResNet](https://arxiv.org/abs/1512.03385){: target="_blank" rel="noopener noreferrer"}
: [📖 Olah, Backpropagation](http://colah.github.io/posts/2015-08-Backprop/){: target="_blank" rel="noopener noreferrer"}




40 changes: 22 additions & 18 deletions _modules/week-05.md
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title: Week 5
---

Feb 6
: [**Lec 8**]({{ site.baseurl }}/assets/slides/deeprob_lecture_08_cnn_architectures_and_object_detection.pdf){: #lec-8 .label .label-purple target="_blank" rel="noopener noreferrer"} [CNN Arch. and Object Detection]({{ site.baseurl }}/assets/slides/deeprob_lecture_08_cnn_architectures_and_object_detection.pdf){: target="_blank" rel="noopener noreferrer"}
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/NqkTXQ){: target="_blank" rel="noopener noreferrer"}
: [**Quiz 4**](https://www.gradescope.com/courses/704549/){: .label .label-orange target="_blank" rel="noopener noreferrer" }
: [📖 Girshick et al., R-CNN](https://arxiv.org/abs/1311.2524){: target="_blank" rel="noopener noreferrer"}
Feb 3
: **Lec 7**{: #lec-7 target="_blank" rel="noopener noreferrer" .label .label-purple } **Convolutional Neural Networks**
: &nbsp;
: [📖 Redmon et al., YOLO](https://arxiv.org/abs/1506.02640){: target="_blank" rel="noopener noreferrer"}
: [📖 cs231n ConvNets](https://cs231n.github.io/convolutional-networks/){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Lin et al., FCOS](https://arxiv.org/abs/1708.02002){: target="_blank" rel="noopener noreferrer"}

: [📖 GBC Ch. 9](https://www.deeplearningbook.org/contents/convnets.html){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Araujo et al., Receptive Fields of CNNs](https://distill.pub/2019/computing-receptive-fields/){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Olah et al., Feature Visualization](https://distill.pub/2017/feature-visualization/){: target="_blank" rel="noopener noreferrer"}



Feb 7
: [**Dis 5**]({{ site.baseurl }}/assets/slides/deeprob_discussion_04_reading_papers.pdf){: #dis-5 target="_blank" rel="noopener noreferrer" .label .label-blue } [How to Read Research Papers]({{ site.baseurl }}/assets/slides/deeprob_discussion_04_reading_papers.pdf)
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/ndHsc1){: target="_blank" rel="noopener noreferrer"}
Feb 4
: **Dis 4**{: #dis-4 target="_blank" rel="noopener noreferrer" .label .label-blue } **CNN Object Detection Demo**
: &nbsp;
: [📖 Vannevar Bush, Science The Endless Frontier](https://www.nsf.gov/od/lpa/nsf50/vbush1945.htm){: target="_blank" rel="noopener noreferrer"}



Feb 8
: [**Lec 9**]({{ site.baseurl }}/assets/slides/deeprob_lecture_09_object_detection.pdf){: #lec-9 .label .label-purple target="_blank" rel="noopener noreferrer"} [Object Detection]({{ site.baseurl }}/assets/slides/deeprob_lecture_09_object_detection.pdf){: target="_blank" rel="noopener noreferrer"}
: [![]({{ site.baseurl }}/assets/logos/yt_icon_rgb.png){: .module-logo } **Recording**](https://leccap.engin.umich.edu/leccap/player/r/qsg89R){: target="_blank" rel="noopener noreferrer"}
: [**Quiz 5**](https://www.gradescope.com/courses/704549/){: .label .label-orange target="_blank" rel="noopener noreferrer" } [**Final Project out**{: .label .label-yellow }]({{ site.baseurl }}/projects/finalproject/){: .project-link} [**Interest Survey Out**](https://www.gradescope.com/courses/704549/){: .label .label-yellow target="_blank" rel="noopener noreferrer" }
: [📖 cs231n Training I](https://cs231n.github.io/neural-networks-2/){: target="_blank" rel="noopener noreferrer"}
Feb 5
: **Lec 8**{: #lec-8 target="_blank" rel="noopener noreferrer" .label .label-purple } **CNN Architectures I**
: &nbsp;
: [📖 Krizhevsky et al., AlexNet](https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Simonyan and Zisserman, VGG](https://arxiv.org/abs/1409.1556){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 Olah et al., Equivariance in Networks](https://distill.pub/2020/circuits/equivariance/){: target="_blank" rel="noopener noreferrer"}
: [📖 Szegedy et al., GoogLeNet](https://arxiv.org/abs/1409.4842){: target="_blank" rel="noopener noreferrer"}
: &nbsp;
: [📖 He et al., ResNet](https://arxiv.org/abs/1512.03385){: target="_blank" rel="noopener noreferrer"}





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