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New posts in neural-network

Pytorch, what are the gradient arguments

When should I use genetic algorithms as opposed to neural networks? [closed]

How to train an artificial neural network to play Diablo 2 using visual input?

Many to one and many to many LSTM examples in Keras

What does tf.nn.conv2d do in tensorflow?

neural-network tensorflow

What is the role of "Flatten" in Keras?

Why must a nonlinear activation function be used in a backpropagation neural network? [closed]

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

Why do we have to normalize the input for an artificial neural network? [closed]

Ordering of batch normalization and dropout?

How to initialize weights in PyTorch?

Why use softmax as opposed to standard normalization?

math neural-network softmax

Where do I call the BatchNormalization function in Keras?

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

Why do we need to call zero_grad() in PyTorch?

How to interpret loss and accuracy for a machine learning model [closed]

Extremely small or NaN values appear in training neural network

What is the meaning of the word logits in TensorFlow? [duplicate]

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

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