課程大綱： Introduction to Deep Learning培訓
Backprop, modular models
Logsum module
RBF Net
MAP/MLE loss
Parameter Space Transforms
Convolutional Module
Gradient-Based Learning
Energy for inference
Objective for learning
PCA, NLL
Latent Variable Models
Probabilistic LVM
Loss Function
Handwriting recognition
加入高級會員獲得助教答疑
