[coursera] Neural Networks for Machine Learning PA1

Geoffery Hinton大神开的课，推荐有一定machine learning基础，对neural nets和deep learning感兴趣的同学看看。只有四次programming assignments，但内容涉及比较广，毕竟Hinton大神是从六七十年代就开始做神经网络的人了。。

第一周内容（因为不是每周都有PA的以后就懒得写内容了。。）：

Lecture1

• Why do we need machine learning? [13 min]
  
• What are neural networks? [8 min]
• Some simple models of neurons [8 min]
• A simple example of learning [6 min]
• Three types of learning [8 min]
  

Lecture2

• Types of neural network architectures [7 min]
• Perceptrons: The first generation of neural networks [8 min]
• A geometrical view of perceptrons [6 min]
• Why the learning works [5 min]
• What perceptrons can't do [15 min]
  

这门课程比较与众不同的一点是它没有像machine learning那样的programming assignment，它的PA都是布置在quiz里面的
第一周没作业，第二周有PA1

PA1求学分