APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Deep Learning enables software to train itself to perform tasks with vast amounts of data.
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Machines with Deep Learning are intelligent enough to develop algorithms for themselves.
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In deep learning, the machine is trained with huge amounts of data which helps it to train itself around the data. Such machines are intelligent enough to develop algorithms for themselves.
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None of the above
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Detailed explanation-1: -Most deep learning methods use neural network architectures, which is why deep learning models are often referred to as deep neural networks. The term “deep” usually refers to the number of hidden layers in the neural network.
Detailed explanation-2: -Training data is the initial dataset you use to teach a machine learning application to recognize patterns or perform to your criteria, while testing or validation data is used to evaluate your model’s accuracy. You’ll need a new dataset to validate the model because it already “knows” the training data.
Detailed explanation-3: -Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.