0
What else can I help you with?
Discuss the back propagation algorithm for neural network-based classification of data?
i don't know the answer i want this answer from your side.............
What is daemonlinks?
Daemonlinks is the name of a neural network framework algorithm created by Andrew H. Cooper in the winter of 1983.
What are the advantages of sigmoidal function in neural network?
its derivative is easy to compute
What is back-propagation?
Back-propagation is a method used in training artificial neural networks by calculating the gradient of the loss function with respect to the weights of the network. This gradient is then used to update the weights in the network in order to minimize the loss function during the training process. It is a key algorithm in the field of deep learning.
What does the letters CNN mean?
A convolutional neural network (CNN) is a specific type of artificial neural network that uses perceptrons, a machine learning unit algorithm, for supervised learning, to analyze data. CNNs apply to image processing, natural language processing and other kinds of cognitive tasks. A convolutional neural network is also known as a ConvNet.
What is learning rate in neural network?
The learning rate is a constant in the algorithm of a neural network that affects the speed of learning. It will apply a smaller or larger proportion of the current adjustment to the previous weight. The higher the rate is set, the faster the network will learn, but if there is large variability in the input the network will not learn very well if at all.
Why Is the RBFNs Algorithm Important?
The Radial Basis Function Neural Network Kernel is frequently utilised because of how much it resembles the K-Nearest Neighborhood Algorithms. Radial Basis Function Neural Network Kernel Support Vector Machines have K-NN advantages and address the memory complex problem by requiring the coordinates to be stored during training rather than the entire dataset. For more information, Pls visit the 1stepgrow website.
What are the types of neural network?
We can classify neural networks in several groups according to following criteria:Perceptron networksNumber od layers:single layer neural networksmultiple layer neural networksDirection of signal propagation:forward propagationrecurentOther structuresKohonen networksHopfield networksOther typesRadial Basis Function networksOrtogonal activating function neural networksmany others... see wikipedia
What is basic neutron of neural network?
A basic neuron in a neural network is a computational unit that takes input values, applies weights to them, sums them up, adds a bias, and then passes the result through an activation function to produce an output. This output is then passed to other neurons or to the network's output layer.
What is momentum neural networks?
momentum neural network
Advantage and disadvantage of neural network?
Advantages and disadvantages of Artificial Neural NetworkAdvantages:· A neural network can perform tasks that a linear program cannot.· When an element of the neural network fails, it can continue without any problem by their parallel nature.· A neural network learns and does not need to be reprogrammed.· It can be implemented in any application and without any problem.Disadvantages:· The neural network needs training to operate.· The architecture of a neural network is different from the architecture of microprocessors therefore needs to be emulated.· Requires high processing time for large neural networks.
Disadvantage of artificial neural network?
the neural networks need training to operate. the architecture of a neural network is different from the architecture of microprocessor therefore needs to be emulated.
