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Results tagged with neural-networks
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user 2444
For questions about artificial networks, such as MLPs, CNNs, RNNs, LSTM, and GRU networks, their variants or any other AI system components that qualify as a neural networks in that they are, in part, inspired by biological neural networks.
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What are examples of problems where neural networks have achieved human-level or higher perf...
What are examples of problems where neural networks have been used and have achieved human-level or higher performance?
Each answer can contain one or more examples. Please, provide links to research …
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Which machine learning models are universal function approximators?
The universal approximation theorem states that a feed-forward neural network with a single hidden layer containing a finite number of neurons can approximate any continuous function (provided some a …
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What is teacher forcing?
In the paper Neural Programmer-Interpreters, the authors use the teacher forcing technique, but what exactly is it?
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Do convolutional neural networks perform convolution or cross-correlation?
Typically, people say that convolutional neural networks (CNN) perform the convolution operation, hence their name. However, some people have also said that a CNN actually performs the cross-correlati …
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Why exactly do neural networks require i.i.d. data?
In reinforcement learning, successive states (actions and rewards) can be correlated. An experience replay buffer was used, in the DQN architecture, to avoid training the neural network (NN), which re …
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Which paper introduced the term "softmax"?
Nowadays, the softmax function is widely used in deep learning and, specifically, classification with neural networks. However, the origins of this term and function are almost never mentioned anywher …
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