How ANN (Artificial Neural Networks) algorithm works

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In this video I explain the propagation of values inside the neural network algorithm.
The backpropagation, which is used to train the network, is not discussed in this video.
The weights of the connections were defined randomly, but the results of the propagation are correct. We used three different activation functions only to show that in the neural network it is possible to define more than one type of activation function.

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hey @Thales I wonder how did you get the value of f(x)? thanks
I know it seems like you're inserting X value into a function F, but what does function F infer to?

kennjeee
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Can u suggest some basic books and videos in this .

alagesh
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You need to filter the audio noise of your videos, this is unlistenable

fedes
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why f(x) in linear is 0.7 i thought that it should be 0.8  ??? please reply why ??

pradeep
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dude couldnt you remove the background noise? speak out in a clearer way!

samirelzein
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Dear Thales I lost my password I have got it again before two days

bayremjuma
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Dear Kortingi well done for your effort, can I send you and email to help me. I need to classify some data using  back propagation 

bayremjuma
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I will send you my case, could you please have a look 

bayremjuma