Question

Neural networks network capacity is defined as

Answer 1

Neural network capacity: It refers to total number of nodes and number of layers in a network.

• A model with neural network capacity with adequate number of hubs has the capacity of adapting any mapping capacity, however the picked learning calculation might possibly have the option to understand this ability.

Answer 2

The network capacity in a neural network is defined as the number of patterns or the number of nodes.

Explanation:

• Various levels or layers of abstraction or the fundamental memories that can be stored and recalled in a network. By increasing number of layers or by increasing number of nodes, definitely we can increase the capacity of the neural networks.
• Any network model with low network capacity is under fitted and with the high capacity is overfit for any optimization process.

Learn more about neural network

What is convolutional neural network

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The neural network given below takes two binary valued inputs x1,x2 ϵ{0, 1} and the activation function is the binary threshold function (h(x)=l if x>0;O otherwise). Which of the following logical functions does it compute?

A) OR

B) AND

C) NAND

D) None of these

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