Saving neural network weights to csv file (AML part 6)

Saving the neural network weights to a csv file is much easier. In my opinion this option is faster and csv tables are easily exported to other databases. Another reason is the great versatility of this approach, since to save to the database, you need to raise the local server, while for the files you just need to allocate a directory.

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Creating database for neural network (AML part 4)

Exist huge number of database management systems (DBMS). Of course, there are graph databases as well. However, for ease of understanding, I settled on MySQL. There are two reasons for this. The first is that I have experience with this DBMS. Secondly, this is a large amount of previously written program code for working with MySQL that I can use in this project.

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Thinking out loud (AML part 3)

It is not difficult to maintain the weights. However, there are many factors to consider. For example, maybe need information about which neural network the weights belong to. To do this, necessary to record metadata of the neural network, such as the number of layers, the number of neurons in each layer, what exactly does the neural network do, what is the activation function of the network?

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