Resources

• lectures
• readings

Topics

Activation Maximization and Saliency Maps

• Lecture 11: CNNs for Image Data, Activation Maximization and Saliency Maps

Advanced Practical Data Science

• Lecture 1: Introduction: Virtual Enviroments and Virtual Boxes

Attention

• Lecture 8: Attention and Transformers
• Reading Discussion 7

Cloud

• Lecture 3: Kubernetes

CNN

• Lecture 6: Transfer Learning
• Lecture 5: Transfer Learning

Compression

• Reading Discussion 8

conda env

• Lecture 1: Introduction: Virtual Enviroments and Virtual Boxes

Containers

• Lecture 3: Kubernetes
• Lecture 2: Containers
• Reading Discussion 1

Dask

• Lecture 4: Dask
• Lecture 4: Dask [Notebook]
• Reading Discussion 3
• Lecture 4: Dask [Notebook]

Distillation

• Reading Discussion 8

Distillation and Compression

• Lecture 9: Distillation and Compression

Docker

• Lecture 2: Containers
• Lecture 2: Demo2 [Notebook]
• Lecture 2: Demo2 [Notebook]
• Lecture 2: docker-cheatsheet [Notebook]
• Lecture 3: Demo [Notebook]
• Reading Discussion 1

env

• Lecture 1: Introduction: Virtual Enviroments and Virtual Boxes

enviroments

• Lecture 1: Introduction: Virtual Enviroments and Virtual Boxes

Helm

• Reading Discussion 2

Introduction

• Lecture 1: Introduction: Virtual Enviroments and Virtual Boxes

Kubernetes

• Lecture 3: Kubernetes
• Reading Discussion 2

Language Modeling

• Lecture 7: Language Modeling

Language Modelling

• Reading Discussion 7

Language Models

• Lecture 12: Attention for Debugging Language Models

Lime and Shapley

• Lecture 10: Introduction and Overview of Viz for Deep Models: lime and shapley

Loft

• Reading Discussion 2

Parallel Computing

• Lecture 4: Dask [Notebook]
• Lecture 4: Dask [Notebook]

Parallel Processing

• Lecture 4: Dask
• Reading Discussion 3

Python

• Lecture 4: Dask
• Lecture 4: Dask [Notebook]
• Reading Discussion 3
• Lecture 4: Dask [Notebook]

Skaffold

• Reading Discussion 2

Text

• Lecture 7: Language Modeling

Transfer Learning

• Reading Discussion 6
• Lecture 6: Transfer Learning
• Reading Discussion 5
• Lecture 5: Transfer Learning
• Reading Discussion 4

Transformers

• Lecture 8: Attention and Transformers
• Reading Discussion 7

Virtual Environments

• Reading Discussion 1

Virtual Machines

• Lecture 1: Introduction: Virtual Enviroments and Virtual Boxes
• Reading Discussion 1