**The Basics Of Neural Network**

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The Basics of Neural Networks. Neural neworks are typically organized in layers. … Patterns are presented to the network via the ‘input layer’, which communicates to one or more ‘hidden layers’ where the actual processing is done via a system of weighted ‘connections’.

**Table of Contents**

1 Welcome

2 How to utilize a neural network

3 Improve your networks accuracy

4 Initialize your network

5 Link your learning with the chain rule

6 Move backwards to help the network learn

7 Tune your network

8 Use backpropagation for errors

9 Avoiding challenges

10 Classify massive data sets

11 Cluster your data into groups

12 Further steps

13 Defining MLP

14 Choosing with neurons

15 Detect complex paterns

16 Feed data into the network

17 Use hidden layers

18 Add weights

19 Determine the activation level

20 Give the neurons an activation bias

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