CreativeAI: Deep Learning for Graphics Tutorial Code

This is the example code accompanying the CreativeAI: Deep Learning for Graphics Course at Siggraph Asia 2018.

These Notebooks can be executed in Google Colaboratory with the following links. Make sure to select a runtime with GPU support (Runtime > Change runtime type) to get the best performance.

Linear Regression and Polynomial Regression

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/linear_regression.ipynb https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/poly_regression.ipynb https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/poly_regression_polyfit.ipynb

Stochastic Gradient Descent vs. Gradient Descent

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/sgd.ipynb

Multi-Layer Perceptron

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/multilayer_perceptron.ipynb

Edge Filter 'Network'

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/edge_filter.ipynb

Convolutional Network

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/convolutional_network.ipynb

Filter Visualizations

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/filter_visualization.ipynb

Weight Initialization Strategies

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/weight_initialization.ipynb

Colorization Network

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/colorization.ipynb

Autoencoder

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/autoencoder.ipynb

Variational Autoencoder

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/variational_autoencoder.ipynb

Generative Adversarial Network (GAN)

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/gan.ipynb

Mirroring with a Convolutional Network

https://colab.research.google.com/github/smartgeometry-ucl/dl4g/blob/master/mirroring.ipynb

PDE Learning (not available as notebook)

https://github.com/smartgeometry-ucl/dl4g/tree/master/pde_learning

smartgeometry-ucl / dl4g Goto Github PK

dl4g's Introduction

CreativeAI: Deep Learning for Graphics Tutorial Code

Linear Regression and Polynomial Regression

Stochastic Gradient Descent vs. Gradient Descent

Multi-Layer Perceptron

Edge Filter 'Network'

Convolutional Network

Filter Visualizations

Weight Initialization Strategies

Colorization Network

Autoencoder

Variational Autoencoder

Generative Adversarial Network (GAN)

Mirroring with a Convolutional Network

PDE Learning (not available as notebook)

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