Posts about learning
- Understanding Image Normalization in CNNs
- Experimenting with transfer learning for visual categorization
- Time lapsing an orchid's flower
- Kuramoto model
- Sparse coding of large images
- Extending datasets in pyTorch
- MEUL with a non-parametric homeostasis
- Improving calls to the LogGabor library
- The fastest 2D convolution in the world
- Le jeu de l'urne
- testing COMPs-fastPcum_scripted
- testing COMPs-fastPcum
- testing COMPs-Pcum
- Extending Olshausens classical SparseNet
- Reproducing Olshausen's classical SparseNet (part 3)
- Reproducing Olshausens classical SparseNet (part 2)
- Reproducing Olshausen's classical SparseNet (part 1)
- Some basics around probabilities
- Bogacz (2017) A tutorial on free-energy
- Reproducing Olshausen's classical SparseNet (part 3)
- Reproducing Olshausen's classical SparseNet (part 4)
- Extending Olshausens classical SparseNet
- Reproducing Olshausens classical SparseNet (part 2)
- Reproducing Olshausen's classical SparseNet (part 1)