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‎.notebooks/course_UvA-DL/01-introduction-to-pytorch.ipynb

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"nbformat": 4,
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‎.notebooks/course_UvA-DL/01-introduction-to-pytorch.yaml

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title: 'Tutorial 1: Introduction to PyTorch'
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title: "Tutorial 1: Introduction to PyTorch"
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author: Phillip Lippe
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created: 2021-08-27
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updated: 2023-03-14
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license: CC BY-SA
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description: 'This tutorial will give a short introduction to PyTorch basics, and
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description: "This tutorial will give a short introduction to PyTorch basics, and
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get you setup for writing your own neural networks.
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This notebook is part of a lecture series on Deep Learning at the University of
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Amsterdam.
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The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
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'
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"
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requirements:
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- matplotlib
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- lightning>=2.0.0
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- matplotlib
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- lightning>=2.0.0
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accelerator:
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- CPU
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- CPU
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environment:
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- setuptools==68.2.2
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- torch==2.0.1+cu118
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- ipython==8.16.1
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published: '2023-10-11T15:26:10.460926'
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- pytorch-lightning==2.0.9.post0
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- torchmetrics==1.2.0
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- matplotlib==3.8.0
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- setuptools==68.2.2
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- torch==2.0.1+cu118
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- ipython==8.16.1
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- lightning==2.0.9.post0
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- urllib3==2.0.6
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published: "2023-10-11T15:26:10.460926"

‎.notebooks/course_UvA-DL/02-activation-functions.ipynb

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‎.notebooks/course_UvA-DL/02-activation-functions.yaml

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title: 'Tutorial 2: Activation Functions'
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title: "Tutorial 2: Activation Functions"
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author: Phillip Lippe
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created: 2021-08-27
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updated: 2023-03-14
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license: CC BY-SA
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description: 'In this tutorial, we will take a closer look at (popular) activation
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description: "In this tutorial, we will take a closer look at (popular) activation
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functions and investigate their effect on optimization properties in neural networks.
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Activation functions are a crucial part of deep learning models as they add the
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more beneficial than others.
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The goal of this tutorial is to show the importance of choosing a good activation
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function (and how to do so), and what problems might occur if we don''t.
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function (and how to do so), and what problems might occur if we don't.
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This notebook is part of a lecture series on Deep Learning at the University of
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Amsterdam.
2020
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The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
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'
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"
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requirements:
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- torchvision
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- matplotlib
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- seaborn
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- lightning>=2.0.0
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- torchvision
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- matplotlib
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- seaborn
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- lightning>=2.0.0
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accelerator:
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- CPU
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environment:
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- pytorch-lightning==2.0.9.post0
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- torchvision==0.15.2
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- setuptools==68.2.2
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- matplotlib==3.8.0
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- torchmetrics==1.2.0
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- lightning==2.0.9.post0
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- urllib3==2.0.6
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- torch==2.0.1
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published: '2023-10-11T15:36:52.722595'
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- pytorch-lightning==2.0.9.post0
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- torchvision==0.15.2
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- setuptools==68.2.2
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- matplotlib==3.8.0
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- torchmetrics==1.2.0
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- lightning==2.0.9.post0
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- urllib3==2.0.6
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- seaborn==0.13.0
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- torch==2.0.1
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- ipython==8.16.1
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published: "2023-10-11T15:36:52.722595"

‎.notebooks/course_UvA-DL/03-initialization-and-optimization.ipynb

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},
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"nbformat": 4,
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‎.notebooks/course_UvA-DL/03-initialization-and-optimization.yaml

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title: 'Tutorial 3: Initialization and Optimization'
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title: "Tutorial 3: Initialization and Optimization"
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author: Phillip Lippe
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created: 2021-08-27
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updated: 2023-03-14
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license: CC BY-SA
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tags:
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- Image
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- Initialization
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- Optimizers
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description: 'In this tutorial, we will review techniques for optimization and initialization
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- Image
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- Initialization
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- Optimizers
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description: "In this tutorial, we will review techniques for optimization and initialization
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of neural networks.
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When increasing the depth of neural networks, there are various challenges we face.
@@ -23,24 +23,24 @@ description: 'In this tutorial, we will review techniques for optimization and i
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The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
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'
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"
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requirements:
28-
- torchvision
29-
- matplotlib
30-
- seaborn
31-
- lightning>=2.0.0
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- torchvision
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- matplotlib
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- seaborn
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- lightning>=2.0.0
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accelerator:
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- CPU
34-
- GPU
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- CPU
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- GPU
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environment:
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- torchvision==0.15.2
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- setuptools==68.2.2
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- seaborn==0.13.0
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- ipython==8.16.1
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- matplotlib==3.8.0
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- pytorch-lightning==2.0.9.post0
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- urllib3==2.0.6
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- lightning==2.0.9.post0
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- torchmetrics==1.2.0
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- torch==2.0.1
46-
published: '2023-10-11T15:49:26.708230'
36+
- torchvision==0.15.2
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- setuptools==68.2.2
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- seaborn==0.13.0
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- ipython==8.16.1
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- matplotlib==3.8.0
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- pytorch-lightning==2.0.9.post0
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- urllib3==2.0.6
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- lightning==2.0.9.post0
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- torchmetrics==1.2.0
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- torch==2.0.1
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published: "2023-10-11T15:49:26.708230"

‎.notebooks/course_UvA-DL/04-inception-resnet-densenet.ipynb

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},
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}

‎.notebooks/course_UvA-DL/04-inception-resnet-densenet.yaml

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title: 'Tutorial 4: Inception, ResNet and DenseNet'
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title: "Tutorial 4: Inception, ResNet and DenseNet"
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author: Phillip Lippe
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created: 2021-08-27
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updated: 2023-03-14
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license: CC BY-SA
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tags:
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- Image
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description: 'In this tutorial, we will implement and discuss variants of modern CNN
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- Image
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description: "In this tutorial, we will implement and discuss variants of modern CNN
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architectures.
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There have been many different architectures been proposed over the past few years.
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The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
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'
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"
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requirements:
31-
- torchvision
32-
- matplotlib
33-
- seaborn
34-
- tabulate
35-
- lightning>=2.0.0
36-
- tensorboard
31+
- torchvision
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- matplotlib
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- seaborn
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- tabulate
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- lightning>=2.0.0
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- tensorboard
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accelerator:
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- GPU
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- GPU
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environment:
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- tabulate==0.9.0
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- matplotlib==3.8.0
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- torchvision==0.15.2
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- tensorboard==2.14.1
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- lightning==2.0.9.post0
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- pytorch-lightning==2.0.9.post0
51-
- ipython==8.16.1
52-
published: '2023-10-11T15:56:33.957662'
40+
- setuptools==68.2.2
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- torch==2.0.1
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- seaborn==0.13.0
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- tabulate==0.9.0
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- matplotlib==3.8.0
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- torchvision==0.15.2
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- tensorboard==2.14.1
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- urllib3==2.0.6
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- torchmetrics==1.2.0
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- lightning==2.0.9.post0
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- pytorch-lightning==2.0.9.post0
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- ipython==8.16.1
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published: "2023-10-11T15:56:33.957662"

‎.notebooks/course_UvA-DL/05-transformers-and-MH-attention.ipynb

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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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}

‎.notebooks/course_UvA-DL/05-transformers-and-MH-attention.yaml

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title: 'Tutorial 5: Transformers and Multi-Head Attention'
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title: "Tutorial 5: Transformers and Multi-Head Attention"
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author: Phillip Lippe
33
created: 2021-06-30
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updated: 2023-03-14
55
license: CC BY-SA
66
build: 0
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tags:
8-
- Text
9-
description: 'In this tutorial, we will discuss one of the most impactful architectures
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- Text
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description: "In this tutorial, we will discuss one of the most impactful architectures
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of the last 2 years: the Transformer model.
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Since the paper Attention Is All You Need by Vaswani et al. had been published in
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The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
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'
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"
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requirements:
34-
- torchvision
35-
- matplotlib
36-
- seaborn
37-
- lightning>=2.0.0
34+
- torchvision
35+
- matplotlib
36+
- seaborn
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- lightning>=2.0.0
3838
accelerator:
39-
- GPU
39+
- GPU
4040
environment:
41-
- lightning==2.0.9.post0
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- torchmetrics==1.2.0
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- seaborn==0.13.0
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- torch==2.0.1
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- urllib3==2.0.6
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- matplotlib==3.8.0
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- pytorch-lightning==2.0.9.post0
48-
- torchvision==0.15.2
49-
- ipython==8.16.1
50-
- setuptools==68.2.2
51-
published: '2023-10-11T16:01:53.227908'
41+
- lightning==2.0.9.post0
42+
- torchmetrics==1.2.0
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- seaborn==0.13.0
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- torch==2.0.1
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- urllib3==2.0.6
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- matplotlib==3.8.0
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- pytorch-lightning==2.0.9.post0
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- torchvision==0.15.2
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- ipython==8.16.1
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- setuptools==68.2.2
51+
published: "2023-10-11T16:01:53.227908"

‎.notebooks/course_UvA-DL/06-graph-neural-networks.ipynb

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},
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"nbformat": 4,
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}
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}

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