Top "Neural-network" questions

What is the role of the bias in neural networks?

I'm aware of the gradient descent and the back-propagation algorithm. What I don't get is: when is using a bias …

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Epoch vs Iteration when training neural networks

What is the difference between epoch and iteration when training a multi-layer perceptron?

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Why binary_crossentropy and categorical_crossentropy give different performances for the same problem?

I'm trying to train a CNN to categorize text by topic. When I use binary cross-entropy I get ~80% accuracy, with …

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How to interpret "loss" and "accuracy" for a machine learning model

When I trained my neural network with Theano or Tensorflow, they will report a variable called "loss" per epoch. How …

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Where do I call the BatchNormalization function in Keras?

If I want to use the BatchNormalization function in Keras, then do I need to call it once only at …

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What's is the difference between train, validation and test set, in neural networks?

I'm using this library to implement a learning agent. I have generated the training cases, but I don't know for …

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Keras input explanation: input_shape, units, batch_size, dim, etc

For any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? …

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How to initialize weights in PyTorch?

How to initialize the weights and biases (for example, with He or Xavier initialization) in a network in PyTorch?

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What are advantages of Artificial Neural Networks over Support Vector Machines?

ANN (Artificial Neural Networks) and SVM (Support Vector Machines) are two popular strategies for supervised machine learning and classification. It's …

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How to concatenate two layers in keras?

I have an example of a neural network with two layers. The first layer takes two arguments and has one …

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