2023-Q4-AI 8. ResNet, DenseNet

8.1. Video / Materials

Video: https://youtube.com/live/iuf33QP8T0s?feature=share

Jamboard: https://jamboard.google.com/d/1gHCHbXnb9adphDPC2090g2amOSMlviptuXhNQu9zEbc/edit?usp=sharing

Materials:

ResNet: https://arxiv.org/abs/1512.03385
DenseNet: https://arxiv.org/abs/1608.06993

^ For new Jamboard user rights given to amir.zkn85@gmail.com

Previous year video for preparation

Focus on ResNet, DenseNet part

Video: https://youtu.be/9IJb0juuYik

Jamboard: https://jamboard.google.com/d/1cJQkpyOCg7uUt4d2OX5rr7HuhlCdfjNMRKfeZu0ozEs/edit?usp=sharing

Source code:

http://share.yellowrobot.xyz/quick/2023-10-26-66A1647B-FD86-4853-8E4C-A70DA24C46C5.zip

You must add tasks in DURING LECTURE the same way as others in ORTUS: https://estudijas.rtu.lv/course/view.php?id=349808

Added to course as Lecturer

When starting the lection start Screen Recording using OBS software (you can choose a window to record using it + Mirror it on Wall Display in Class)

Stream key: 2c4r-cxsy-dmdq-7wtv-cj1x Youtube RTMP: rtmp://a.rtmp.youtube.com/live2

Before lecture test streaming NOT on this key, but create your own livestream in youtube to make sure this works

This is way how to make output of OBS visible on Display on Wall (left click)

Setting stream

9.2. Implement ResBlock using schema

Implement ResBlock using schema, submit images of training loss plots and source code

Template:

http://share.yellowrobot.xyz/quick/2023-10-26-A10C56AC-170F-4578-B1BF-6ED4F1B867E3.zip

Schema:

http://share.yellowrobot.xyz/quick/2023-10-26-05A727FA-EE6E-469A-BD2B-4FF30086F0C7.zip

9.3. Implement DenseBlock using schema

Implement DenseBlock using schema, submit images of training loss plots and source code Schema: http://share.yellowrobot.xyz/quick/2023-10-26-D37835EF-7381-445C-BA82-C29C6E57C0EC.zip

Use torch.cat over channel dimension out = torch.cat([x, conv1, conv2], dim=1)

9.4. Implement DenseNet TransitionLayer using schema

Implement DenseNet TransitionLayer using schema, submit images of training loss plots and source code Schema:

http://share.yellowrobot.xyz/quick/2023-10-26-2C2930E8-5FE2-40B1-9AEE-404F9671CBAF.zip

9.5. Implement InceptionNet using schema

Tasks

Implement InceptionBlockA using schema
Implement InceptionNet using schema

Schema: http://share.yellowrobot.xyz/quick/2023-10-26-81E1A5BE-3CEA-47A2-9FDC-205659691D5C.zip

InceptionBlockA and InceptionNet does not have channel count set, you can choose it youself. Number of branches and elements in branchees does not need to match, you can experiment and change them as you wish.

Additional tasks:

Implement InceptionBlockBottleneck so that you do not need to use MaxPool layer in between blocks
Implementēt other types of InceptionNet blocks https://towardsdatascience.com/a-simple-guide-to-the-versions-of-the-inception-network-7fc52b863202 https://arxiv.org/pdf/1409.4842.pdf https://arxiv.org/pdf/1512.00567.pdf

Template:

http://share.yellowrobot.xyz/quick/2023-10-26-668E5491-9AD4-4717-8C4A-992978D67757.zip

Submit images of training loss plots and source code

InceptionBlockA

InceptionNet