| 内容注記 |
Overview
On torch, and how to get it
Tensors
Autograd
Function minimization with autograd
A neural network from scratch
Modules
Optimizers
Loss functions
Function minimization with L-BFGS
Modularizing the neural network
Loading data
Training with luz
A first go at image classification
Making models generalize
Speeding up training
Image classification, take two: Improving performance
Image segmentation
Tabular data
Time series
Audio classification
Matrix computations : Least-squares problems
Matrix computations : convolution
Exploring the discrete fourier transform (DFT)
The fast fourier transform (FFT)
Wavelets. |
