Explain different Loss functions that we generally use for Neural Networks?
Ans: There are no specific loss functions used for Neural Networks. In general, we use Classification Loss Functions in Neural
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Explain Activation Function in Neural Network and its types.
Ans: It is a Function used in Neural Network in order to calculate weighted sum and add bias with it.
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What are different layers in neural networks?
Ans: Basically, there are 3 different types of layers in a neural network:Input LayerIt is a layer
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Introduction to Neural Networks
As per Wikipedia "Neural network is a network or circuit of neurons, composed of artificial neurons or nodes."A Neural Network in
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Hidden Layers in Neural Networks
What Are Hidden Layers? The Hidden Layers is the important topic to understand when we are working with Machine Learning models. Particularly
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Back Propagation and Computational Graphs in Neural Networks
Back Propagation: In Deep Learning , you are definitely heard about the back propagation at least once. In this article I
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