Deep Learning and Computer Vision

series of workshops on deep learning and computer vision at Connecticut College with programming exercises.

You can find the workshop material here:

Workshop 1 (Nov 14)

Topics: Intro to computer vision, linear regression, logistic regression, loss functions, gradient descent, building classifier with MNIST

• Colab Notebook
• Colab Notebook Solutions
• Slides: Uploaded to Google Drive

Animations

Here are the animations from the slides, since they dont work in the uploaded pdf:

Representing images as matrices

DogColor.mp4

Why we add a bias term

LineSep.mp4

Visualizing least squares (Linear Regression)

LineReg.mp4

Workshop 2 (Nov 28)

Topics: Non-linearity, Actiation functions, Convolutional Neural Networks

Resources

CNN Explainer

• Colab Notebook
• Colab Notebook Solutions
• Slides Uploaded to Google Drive

Animations

Here are the animations from the slides, since they dont work in the uploaded pdf:

Why we can't stack linear layers:

stackedlinear.mp4

Stacking ReLUs:

relu.mp4

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All materials were created by me unless stated otherwise