课程编码
deeplearning1
课程时长
21 小时 通常来说是3天，包括中间休息。
要求
Good grounding in basic machine learning. Programming skills in any language (ideally Python/R).
课程概览
本课程是Deep Learning一般概述，不会深入探讨任何特定方法。它适合想要开始使用深度学习来提高预测准确性的人。
Machine Translated
课程大纲
- 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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