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Convolutional layer
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Classroom Contents
Deep Learning Insights into Cosmological Structure Formation - Luisa Lucie-Smith
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- 1 Intro
- 2 Machine learning in Astronomy
- 3 Cosmological structure formation
- 4 Dark matter halo formation
- 5 Insights into dark matter halo collapse from ML?
- 6 A deep learning (DL) approach to halo formation
- 7 Construct ICs-to-halo mass mapping for every particle
- 8 Why convolutional neural networks?
- 9 CNN model
- 10 Convolutional layer
- 11 Training the CNN: minimising a loss function
- 12 Interpreting the learnt mapping between ICs and halos
- 13 Extracting knowledge from a neural network
- 14 Work in progress: knowledge extraction
- 15 Conclusions
- 16 Testing the ability of the CNN to extract features
- 17 Halo mass predictions from the initial conditions
