APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What is wrong about the relationship between neural networks and deep learning?
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The concept of deep learning stems from the study of artificial neural networks
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a neural network algorithm with multiple hidden layers is a deep learning algorithm
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and a single-layer neural network is also a kind of deep learning
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convolutional neural network is a type of deep learning
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Explanation:
Detailed explanation-1: -Neural networks can be recurrent or feedforward; feedforward ones do not have any loops in their graph and can be organized in layers. If there are “many” layers, then we say that the network is deep.
Detailed explanation-2: -Neural Networks are essentially a part of Deep Learning, which in turn is a subset of Machine Learning. So, Neural Networks are nothing but a highly advanced application of Machine Learning that is now finding applications in many fields of interest.
Detailed explanation-3: -Black box. Duration of development. Amount of data. Computationally expensive.
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