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3 votes

What is the relationship between the size of the hidden layer and the size of the cell state layer in an LSTM?

3 votes

What's the function that SGD takes to calculate the gradient?

3 votes
Accepted

What are possible ways to combat overfitting or improve the test accuracy in my case?

3 votes
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Bias equal to 1 and neuron output equal to -1 in neural networks

2 votes
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How do we know that the neurons of an artificial neural network start by learning small features?

2 votes
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How can I address missing values for LSTM?

2 votes

Do we need non-linear activation function in neural networks whose task isn't classification?

2 votes
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In a neural network, can colors be used for neurons in place of floating points and would there be any benefit in doing so?

2 votes
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Can GANs be used to generate something other than images?

2 votes

Why does a neuron in a multi-layer network need several input connections?

2 votes
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What are the reasons behind slow YOLO training?

2 votes

Can you provide some pseudocode examples of what constitutes an AI?

2 votes
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How do LSTM or GRU gates learn to specialize in their desired tasks?

2 votes

How to express accuracy of a regression ANN that uses MSE loss function?

2 votes
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How do layers in an artificial neural network transform inputs to outputs?

2 votes

How can I detect moving objects in a video by OpenCV without using deep learning techniques?

2 votes
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When using Neural Architecture Search, how are the hyper-parameters chosen?

2 votes
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What makes GAN or VAE better at image generation than NN that directly maps inputs to images

2 votes
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Do all neurons in a layer have the same activation function?

1 vote

Is artificial intelligence really just human intelligence?

1 vote

How can I find what does an specific neuron do in neural network?

1 vote

To deal with infinite loops, should I do a deeper search of the best moves with the same value, in alpha-beta pruning?

1 vote
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How is a neural network where the majority of inputs are 0 trained?

1 vote
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Understanding arrangement of applying filters to input channels

1 vote

Is the gradient at a layer independent of the activations of the previous layers?

1 vote

How should I design this LSTM network to perform stock prediction?

1 vote
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What is the neuron-level math behind backpropagation for a neural network?

1 vote
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Should I remove the text overlaying some images in the dataset before training the CNN?

1 vote

Can a NN be configured to indicate which points of the input influenced its prediction and how?

1 vote
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Flatten image using Neural network and matrix transpose