您的位置:首页 > 其它

CS231nNeural Networks Part 1: Setting up the Architecture

2017-05-25 16:15 435 查看
#########

1.Brain analogies

#############

2.Modeling one neruon

Biological motivation and connections

neruro synapses dendrites axopn 

activation function sigmoid fuction 

#############

3.Coarse model

commonly used activation functions

1.Sigmode function

2.Tanh

3.ReLU(r=Rectified Linear Unit)

4.Leaky Relu

5.Maxout

6.TLDR

Neural Network architectures

Layer-wise organization

1.Neural Networks as neurons in graphs

2.Naming conventions

3.Output layer

4.Sizing neural networks

the neural network can approximate any continuous function.

How to set number of layers and their sizes

problem overfitting :L2 regularization,dropout,input noise

generalization capbility
内容来自用户分享和网络整理,不保证内容的准确性,如有侵权内容,可联系管理员处理 点击这里给我发消息
标签: