课程大纲： Introduction to Deep Learning培训
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
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