MACHINE LEARNING

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APPLICATION OF SUPERVISED LEARNING

DEEP LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Deep learning is often made possible by artificial neural networks, which imitate ____, or ____
A
AI & ML
B
Neurons or Brain Cells
C
Either A or B
D
None of the above
Explanation: 

Detailed explanation-1: -Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.

Detailed explanation-2: -Deep learning neural networks, or artificial neural networks, attempts to mimic the human brain through a combination of data inputs, weights, and bias. These elements work together to accurately recognize, classify, and describe objects within the data.

Detailed explanation-3: -Different types of Neural Networks in Deep Learning This article focuses on three important types of neural networks that form the basis for most pre-trained models in deep learning: Artificial Neural Networks (ANN) Convolution Neural Networks (CNN) Recurrent Neural Networks (RNN)

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