Neural networks tutorial: Fully Connected 10 [Java] - Saving and loading

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I will start studying mechanical engineering in Aachen soon so I will not have that much time anymore. However, I could make smaller tutorials on smaller topics like the parser class, any algorithms etc. If you have an idea just ask me in the comment section. :)
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These Tutorials are amazing! Do you know of any other resources I can look into to increase my knowledge on this subject?? Keep up the good work!!!

redwulf
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hi man amazing lessons . just one question ...how did you use your input in this program? where have you add the input (learn input and teach input)?...where have you input the folder of your data set

vladisoul
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Thanks for your impressive lessons. But when I run it, here is a NULL PONTER EXCEPTION in indexOfHighestValue method. Could you help me with it, please?

magicmaster
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Hi Finn, How is Studies going!... I am actually new into Neural Network, I have followed your tutorials and would love to apply the knowledge learned into detection system am trying to build ran into a brick and dont know if u can be of assistance.

captainsesman
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Too bad there was no "next video", gr8 series tho.

likeyou
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Hi Finn, ich habe als Einstieg ins Thema Neuronale Netze die Reihe angesehen und selbst mitprogrammiert. Nachdem ich fertig war habe ich jedoch nur ein Ergebnis con 60-70% erreicht und deshalb dein fertigen Ordner runtergeladen und verglichen. Ich habe dann alles verglichen und keinen Unterschied gemerkt. Dann habe ich den parser-Ordner und den mnist-Ordner (außer mnist.java) kopiert. Wenn ich die Dateien jetzt kompilieren will kommt immer etwas, wie "parser\Attribute.java:3:26: error: package parser.parsertools does not exist".
Vorher kam das nicht. Hast du eine Idee, wodurch das kommt bzw. was ich dagegen machen kann?
Wenn das geht könnte ich dir die Dateien auch zuschicken.

sebastian
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Amazing tutorial that helps me a lot, but I feel that you drifted away a bit with the Serializable explanation. It doesn't work not because you updated java or that it has some hidden ids, but because it's not the same class anymore (you added new methods). Naturally, you cannot cast a wrong object. Great stuff, though, thanks a lot.

vdas
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you can use the first method if you put in the serialVersionUID in the class. This makes sure that every version of the class uses the same key. It's also not hard to do because when you implement Serializable to write down the code, eclipse recommends you to put in a key.

bosa
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I have been writing my senior thesis on this topic for college and this has been a tremendous help. Thank you. However, I have some difficulties training the network:


Network network = new Network(784, 50, 10);
trainData(network, createTrainSet(0, 100), 1000, 100, 100, "Data/mnist.txt");


Once it reaches 1000 epochs, the result is around 60% of accuracy(takes around 20 mins). If i just run for 10 seconds or so( like you did in the video) the accuracy is higher like 68% why is that? And what numbers should I enter to get like 98% or higher accuracy? I am okay with waiting for a day or so to train it as long as I get good results.

I feel like I should boost the epochs but till what number? Please, help



Thank you, Ani

anizivzivadze
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Hey man :) is ann applicable in binary classification?

wanchodas
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Hi, Can you make a same tutorial for Extension Neural Network?

ThePrinceCanal
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How can I load my own png images to use with the trained network?

benkelcher
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Hey thanks for the tutorial, but is there anyway i can turn this from needing a target to just trying to get the highest score?

yohguy
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Could you make a tutorial about how to create a simple chat bot with a neural network?

necromanhd
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