Prediction Accuracy of a Neural Network depends on _______________ and ______________.
1. Input and Output
2. Linear and Logistic Function
3. Weight and Bias
4. Activation and Threshold
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The accuracy of the predictions by a neural network is dependent on input and output.
Artificial Neural network, abbreviated as ANN, is based on the concept that an artificial brain can be created using dendrites and silicon. A natural brain is a composition of a thousand millions of nerve cells.
There are two types of neural networks:
1. Feed forward neural network: In which there is one way communication, i.e., no feedback is received.
2. Feed back neural network: In this, a feedback is received
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