Resources
Topics
Activation Maximization
- Lecture 8: Introduction and overview of Viz for Deep Models
- Lecture 9: Convolutional Neural Networks for Image Data
- Lecture 8: Introduction and overview of Viz for Deep Models [Notebook]
Advanced Practical Data Science
BERT
Cloud
Compression
- Reading Discussion 6: Distillation and Compression
- Lecture 7: Distillation and Compression
- Lecture 7: Distillation and Compression [Notebook]
Containers
- Reading Discussion 2: Kubernetes
- Lecture 2: Virtual Environments, Virtual Machines, and Containers
- Lecture 3: Kubernetes
- Reading Discussion 1: Environments, Virtual Machines and Containers
Convolutional Neural Networks
Dask
Debug Models
Debug Models through Visualization
- Lecture 8: Introduction and overview of Viz for Deep Models
- Lecture 8: Introduction and overview of Viz for Deep Models [Notebook]
Deep Learning
Distillation
- Reading Discussion 6: Distillation and Compression
- Lecture 7: Distillation and Compression
- Lecture 7: Distillation and Compression [Notebook]
ELMO
GRU
Image Classification and Transfer Learning
Image Data
Kubernetes
LIME
- Lecture 8: Introduction and overview of Viz for Deep Models
- Lecture 8: Introduction and overview of Viz for Deep Models [Notebook]
LSTM
Parallel Computing
- Lecture 4: Dask [Notebook]
Parallel Processing
Python
- Reading Discussion 3: Dask
- Lecture 4
- Lecture 4: Dask [Notebook]
Recurrent Neural Networks
RNN
Saliency Map
- Lecture 8: Introduction and overview of Viz for Deep Models
- Lecture 8: Introduction and overview of Viz for Deep Models [Notebook]
Saliency Maps
Style Transfer Model
Text Data
TOPIC_1
- Resource 1
- Projects
- Lecture 1: Notebook 1 [Notebook]
- Lecture 10: Notebook 10 [Notebook]
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- Lecture 5: Notebook 5 [Notebook]
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- Lecture 5: Notebook 5 [Notebook]
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- Lecture 5: Notebook 5 [Notebook]
TOPIC_2
- Resource 1
- Projects
- Lecture 1: Notebook 1 [Notebook]
- Lecture 10: Notebook 10 [Notebook]
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- Lecture 9: Notebook 9 [Notebook]
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- Lecture 9: Notebook 9 [Notebook]
TOPIC_27
- Lecture 9: Notebook 9 [Notebook]
TOPIC_3
- Resource 1
- Projects
- Lecture 1: Notebook 1 [Notebook]
- Lecture 10: Notebook 10 [Notebook]
TOPIC_4
- Resource 1
- Practicum 2
- Lecture 2: Notebook 2 [Notebook]
TOPIC_5
- Resource 1
- Practicum 2
- Lecture 2: Notebook 2 [Notebook]
TOPIC_6
- Practicum 2
- Lecture 2: Notebook 2 [Notebook]
TOPIC_7
- Lecture 3: Notebook 3 [Notebook]
TOPIC_8
- Lecture 3: Notebook 3 [Notebook]
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- Lecture 3: Notebook 3 [Notebook]
Transfer Learning
- Reading Discussion 5: Transfer Learning across Tasks
- Reading Discussion 4: Intro to Transfer Learning: Basic Transfer Learning and SOTA Models
- Lecture 5
- Lecture 6: Transfer Learning 2
- Lecture 7: Distillation and Compression
- Lecture 6: Transfer Learning 2 [Notebook]
- Lecture 7: Distillation and Compression [Notebook]
Transfer Learning across Tasks
Virtual Environments
- Lecture 2: Virtual Environments, Virtual Machines, and Containers
- Reading Discussion 1: Environments, Virtual Machines and Containers
Virtual Machines
- Lecture 2: Virtual Environments, Virtual Machines, and Containers
- Reading Discussion 1: Environments, Virtual Machines and Containers