deep-learning-on-graphs
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Deep Learning
Resources
- Awesome Deep Vision
- 8 Inspirational Applications of Deep Learning
- Neural Networks and Deep Learning (Free Online Book)
- A Guide to Deep Learning
- Deep Learning Weekly (Newsletter)
- TensorFlow (Open Source Library)
- TensorFlow in a Nutshell
- A Year of Artificial Intelligence
- Introduction to Convolutional Neural Networks
Python Tutorials
TensorFlow Tutorials
Paper
- A method for stochastic optimization
- Adam-Optimizer
- VGG 16/19
- Kontinuierliche Filter
- Deep Function Machines: Generalized Neural Networks for Topological Layer Expression (Section 4.1 und 4.2)
- CNNs auf Daten mit variierenden Größen
- Efficient and Scalable Computations with Sparse Tensors
Reduce Overfitting
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting
- L2-Regularisierung
- Batch-Normalisierung
Data
- CIFAR-10 (Citation)
- ImageNet
- 224x224 klassische Größe für allgemeine Bildklassifikation
- ILSVRC2014
- Random Ramblings on ImageNet
- PascalVOC
Applications
Object Detection
- Distance detection of objects
- Detect friends on images based on their facebook profiles
- Detect emotions from photos and represent them with an emoji
- Detect rotations/poses of objects and replace them with objects that have a similar rotation
Vector Graphics
- Convert svgs as graphs to input them in neural networks
- Convert pixelbased images to vectorbased images
- Fake Chine Characters in Vector Format with TensorFlow
- Create responsive svgs via Attention Detection (see SVG has more potential)
- Comparison: Performance and accuracy tests on different networking tasks like classification on pixelbased images and pixelbased images converted to vector graphics
Fonts
- Font Variant Generation
- Anaylizing 50k fonts using deep neural networks
Image Generation
- LowPoly Image Creation
- Create an Image from a Sketch
- Image Analogies
- Paint Photos in Style Of Any Artist
- Create an image from a text (A pictures says more than thousand words)
Graph-based image classification
- Efficiency and Performance by converting images to superpixels, segmentation graphs or svgs