What is Deep Learning? The patterns from neurons network of brain!

//What is Deep Learning? The patterns from neurons network of brain!

What is Deep Learning? The patterns from neurons network of brain!

Deep learning : A new subset of machine learning technique that teach computers to learn by example, especially trough getting patterns from  neural network of human brain!

In deep learning, by written a algorithm, can be create a computer model to use data, that do the tasks directly from text, images, or sound, Similar to what is in the driverless cars to distinguish a pedestrian from a lamppost. 

The best feature of Deep learning and that increase its applications is its accuracy!

How Deep Learning Works

The term “deep” usually refers to the number of hidden layers in the neural network. Traditional neural networks only contain 2-3 hidden layers, while deep networks can have as many as 150.

Deep learning models are trained by using large sets of labeled data and neural network architectures that learn features directly from the data without the need for manual feature extraction.

Differences:

Please see the below images:

AL & ML & DL

Machine Learning (ML) vs Deep Learning (DL): 

ML vs DL

Refrence: www.mathworks.com

By |2020-10-12T13:46:37+03:3025th June, 2020|Categories: ML knowledge|Tags: , , |0 Comments

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