This is a tentative schedule and may change slightly.

Date Paper Slides, Paper, Project page Presenter
Thurs, Jan 19 Brief History of Visual Classification slides
Tues, Jan 24 Intro to Image Classification slides, Python tutorial, Image Classification Notes, Linear Classification Notes
Thurs, Jan 26 Linear Classification: loss functions, optimization, gradient descent slides, svm, softmax notes,optimization
Tues, Jan 31 Neural Nets: Backpropagation and Computational (Chain rule) Graphs slides
Thurs, Feb 2 Assignment #1 Due
Thurs, Feb 2 Training Neural Nets I: activation functions, weight initialization, hyperparameter optimization slides, Neural Net Notes 1, Practical recommendations from Yoshua Bengio, and some other SGD tips and tricks
Tues, Feb 7 Training Neural Nets II: overfitting, parameter updates, ensembles, plus Practical Intro to Caffe slides, Neural Net Notes 2 and 3
Thurs, Feb 9 Snow Day
Tues, Feb 14 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe, Christian Szegedy, arXiv, 2015. slides,arXiv Amit and Sambit
Thurs, Feb 16 Intro to Convolutional Neural Networks, Spatial Localization and Detection slides
Tues, Feb 21 ImageNet Classification with Deep Convolutional Neural Networks. Alex Krizhevsky, Ilya Sutskever, Geoffrey E Hinton. NIPS 2012. pdf, slides Lisa and Jason Krone
Thurs, Feb 23 Last Day to Drop
Thurs, Feb 23 Presidents' Day (Observed)
Friday, Feb 24 Assignment #2 Due
Tues, Feb 28 Vizualizing CNNs and Recurrent Neural Nets, Long Short Term Memory slides
Thurs, Mar 2 Final Project Proposals Due proposal requirements, Stanford cs231n recommendations on DL Libraries
Thurs, Mar 2 Training CNNs in practice, plus Practical Intro to TensorFlow slides,Stanford course on TensorFlow
Tues, Mar 7 You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi. arXiv 2016. slides, arXiv, project page Takuto and Jie
Thurs, Mar 9 Assignment #3 Due
Thurs, Mar 9 SSD: Single shot multibox detector. Liu, Wei, et al. ECCV 2016. slides, paper Nathan and Hongyan
Tues, Mar 14 Fully Convolutional Networks for Semantic Segmentation. Jonathan Long, Evan Shelhamer, Trevor Darrell. CVPR 2015. arXiv Jay and Jason Fan -- RESCHEDULED for snow
Thurs, Mar 16 Deep Visual-Semantic Alignments for Generating Image Descriptions. Andrej Karpathy and Li Fei-Fei. CVPR 2015. slides, paper Jonathan and Justin
Tues, Mar 21 Spring Break
Thurs, Mar 23 Spring Break
Tues, Mar 28 Understanding Deep Image Representations by Inverting Them. Aravindh Mahendran, Andrea Vedaldi. CVPR 2015. arXiv, slides Xinmeng and Beibei
Tues, Mar 28 Fully Convolutional Networks for Semantic Segmentation. Jonathan Long, Evan Shelhamer, Trevor Darrell. CVPR 2015. arXiv, slides, demo notebook Jay and Jason Fan
Thurs, Mar 30 Assignment #4 Due
Thurs, Mar 30 Segmentation and Pose Estimation slides
Tues, Apr 4 Final Project Milestone Due milestone requirements
Tues, Apr 4 Activity Recognition and Unsupervised Learning slides
Thurs, Apr 6 Special Guest: Bolei Zhou slides
Tues, Apr 11 Using very deep autoencoders for content-based image retrieval. Krizhevsky, Alex, and Geoffrey E. Hinton. ESANN. 2011. pdf, slides Chris and Ben
Thurs, Apr 13 Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. Alec Radford, Luke Metz, Soumith Chintala. 2015. slides, project page, arXiv Jorge
Tues, Apr 18 Hierarchical Question-Image Co-Attention for Visual Question Answering Jiasen Lu, Jianwei Yang, Dhruv Batra , Devi Parikh, NIPS 2016. slides, arXiv Hossein and Dylan
Thurs, Apr 20 Scribbler: Controlling Deep Image Synthesis with Sketch and Color Patsorn Sangkloy , Jingwan Lu , Chen Fang , Fisher Yu , James Hays. arXiv 2016.
Update - Paper Changed to: Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros		 arXiv
Update: slides, arXiv		 Alex and Sam Burck
Tues, Apr 25 Learning to Generate Chairs, Tables and Cars with Convolutional Networks. Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko, Thomas Brox. CVPR 2015. slides, arXiv Cole and Sam Woolf
Thurs, Apr 27 Attention Mechanism and Residual Networks slides
Friday, May 12 12pm - 3pm, Microsoft New England Research and Development (NERD), 1 Memorial Drive 1st Floor, Cambridge, MA. Adams/Attucks Conference Room. Final Project Presentations * Note: Final Project reports due 11:59 PM EST on day of Final Exam. * Everybody (20 min presentation time per group including questions. This is a hard limit, presentations will be cut off at 20 mins.)