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hello everybody I will teach you how the Neuronal Networks learn to recognize Patters Letters Braille.
let start the show with a program created in the Java Programming Language.
this is configuration of the network and this is the patters Braile for letters A,B,C,D,E.
let see the program. where the Neuronal Network learn each Patters. A,B,C,D,E.
this process is from the read the image.C,D,E.
now I say to Neuronal Networks that learn each patters.
this is the process where the neural network learns each process,letters A,B,C.
In this moment the Neuronal Network learn each patters,A,B,C,D,E.
Now I going to test the Neuronal Network with each letter, example.
letter A, recognize,letter C, recognize,E, the Neuronal Network recognize each patters letters Braille.
this is the patters of each letters, for example letter B,D,A.
and this is the program we read the image.
this is the Backpropagation Algortithm.
The Neuronal Network has layer K, layer J, weigth and inputs.
This is the program,The program has arrays, this array have neurons, Activations,and layers J and Inputs.
this is the configuration of the neuronal Network.
backpropagation algorithm.
this is the activation fuction.with inputs and outputs.
Sigmoide function,and this is the program of sigmoide function in Java.
the basic Neuron has input ,weigth,outputs,Sigmoide fuction,and activations.
I now show you the program Java,neuron,this progrma is write in Spanish.
The Network has inputs,layers,layers and bias.
I hope, that this video help you to learn about Neuronal Network, Thanks.