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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.

2 votes
1 answer
107 views

Are there any relation between the type of input and the activation function while you are b...

I mean, for example, if u have an input data of mostly positive values maybe the activation function that will work better is ReLu. Or if u have an input feature with string values maybe you have to o …
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0 votes
0 answers
3k views

Why I get same predictions values for diferent input data?

I am newbie in the neural network world and actually I build my first neural network but for some reason when I use de trained model to predict ,giving by myselft the data I want it to predict it, ret …
Hello There's user avatar
4 votes
1 answer
12k views

How to choose a batch size and the number of epochs while training a NN

After searching I read diferent theorys that using a greater batch size has better performance while model is training, but in the other hand, I also find the oposite view, that using a mini-batch siz …
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