activation function sentence in Hindi
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- It is associated with CREM and confers a powerful transcriptional activation function.
- Hopfield would use a nonlinear activation function, instead of using a linear function.
- For this reason, back-propagation can only be applied on networks with differentiable activation functions.
- Multilayered procedure is equivalent to the Artificial Neural Network with polynomial activation function of neurons.
- Non-linear activation functions that are commonly used include the softmax function, and the gaussian function.
- This activation function is linear, and therefore has the same problems as the binary function.
- Alternative activation functions have been proposed, including the another class of supervised neural network models.
- Is it Transcription activation function of C / EBPalpha is required for induction of granulocytic differentiation?
- SHH is suggested to promote the activation function of Gli2 and inhibit repressive activity of Gli3.
- SHH also seems to promote the activation function of Gli3 but this activity is not strong enough.
- In many applications the units of these networks apply a " sigmoid function " as an activation function.
- Where is the matrix of input-to-hidden-layer weights, is some activation function, and is the matrix of hidden-to-output-layer weights.
- This result holds for a wide range of activation functions, e . g . for the sigmoidal functions.
- Each convolutional layer is followed by a rectified linear unit, a popular activation function for deep neural networks.
- Backpropagation requires that the activation function used by the artificial neurons ( or " nodes " ) be differentiable.
- A generalisation of the logistic function to multiple inputs is the softmax activation function, used in multinomial logistic regression.
- One of the first versions of the theorem was proved by George Cybenko in 1989 for sigmoid activation functions.
- Here, \ sigma _ 1 is an element-wise activation function such as a sigmoid function or a rectified linear unit.
- Where \ phi ^ \ prime is the derivative of the activation function described above, which itself does not vary.
- Neurons with this kind of activation function are also called " artificial neurons " or " linear threshold units ".
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