MACHINE LEARNING

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APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
In this model, the machine is trained with huge amounts of data which helps it in training itself around the data. Such machines are intelligent enough to develop algorithms for themselves.
A
AI
B
ML
C
DL
D
None of the above
Explanation: 

Detailed explanation-1: -Deep learning requires large amounts of data. Furthermore, the more powerful and accurate models will need more parameters, which, in turn, require more data. Once trained, deep learning models become inflexible and cannot handle multitasking.

Detailed explanation-2: -Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Detailed explanation-3: -The training dataset is used in initial training; validation data is used to evaluate the model and tune hyperparameters; and testing data is used to measure performance of the final model. The training algorithm-there are multiple algorithms available for most machine learning tasks.

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