APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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We have access to a lot more computational power.
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Neural Networks are a brand new field. We have access to a lot more data.
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Deep learning has resulted in significant improvements in important
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applications such as online advertising, speech recognition, and image recognition.
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Detailed explanation-1: -It is faster to train on a big dataset than a small dataset. Recent progress in deep learning algorithms has allowed us to train good models faster (even without changing the CPU/GPU hardware).
Detailed explanation-2: -Deep learning is an important element of data science, which includes statistics and predictive modeling. It is extremely beneficial to data scientists who are tasked with collecting, analyzing and interpreting large amounts of data; deep learning makes this process faster and easier.
Detailed explanation-3: -A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain.