Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12
Introduction
00:00 • 4min
The Black Box Effect in Neural Networks
04:25 • 2min
Languages Are Stable Over Time
06:12 • 2min
The Problem of Approximation of Functions in Finance
08:00 • 3min
Generalized Stochastic Sampling in Multi-Dimensional Space
10:36 • 3min
Interpolating Functions in One Dimension
13:32 • 2min
How Does Deep Neural Network Work?
15:05 • 3min
The Functional Tensor Train
17:39 • 2min
The Tensor Train Extension
19:31 • 4min
Towards the Output Voice Requires Computational Efficiency
23:46 • 2min
Application to Finance
25:56 • 4min
The Comparison Between Deep Neural Networks and XVA
29:59 • 3min