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High-dimensional learning with deep network contractions
Published on Oct 29, 201410499 Views
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Chapter list
High Dimensional Classification with Deep Networks00:00
High-Dimensional Classification00:08
Deep Convolution Networks01:44
Overview of Outrageous Claims03:13
Image Metrics - 104:27
Image Metrics - 205:51
Image Geometry and Metric06:44
Euclidean Metric Embedding07:06
Wavelet Transform of Images08:18
Fast Wavelet Transform09:18
Wavelet Translation Invariance09:46
Wavelet Scattering Network11:01
Scattering Neuronal Network - 112:02
Scattering Neuronal Network - 212:11
Scattering Neuronal Network - 312:20
Wavelet Scattering12:29
Scattering Properties13:36
Image Classification14:44
Scattering Moments of Processes15:45
Adapt Convolutions to Invariants16:39
Rotation-Translation Invariance 17:00
Scalo-Roto-Translation Invariance17:25
Rotation and Scaling Invariance17:41
Complex Image Classification - 118:08
Complex Image Classification - 219:51
Inverse Scattering Transform19:54
Sparse Shape Reconstruction21:32
Ergodic Texture Reconstructions22:17
Multiscale Scattering Reconstructions23:09
Scattering Reconstructions24:25
Learning Physics: N-Body Problem - 125:01
Learning Physics: N-Body Problem - 225:42
Quantum Chemistry26:49
Conclusion29:24