Difference difference between machine learning and deep learning with examples.

Machine Learning

In the modern era, a huge number of data is being increased exponentially minute after minute. At that instance machine learning techniques can be exploited to mine the information from an abundant amount of data.

For instance, two or more persons talking openly on the web through text. Here machine learning techniques can be used to know what about the persons are talking about.


Relation between Machine Learning and Artificial Intelligence:

Artificial Intelligence is a broader area which contains machine learning, robotics, and computer vision.


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Deep Learning: It is a subfield of machine learning that relies on Artificial Neural Networks (ANNs) using a large dataset such as images or text. Artificial Neural Networks (ANNs) are information processing models which are inspired by the human brains.


What differs deep learning from machine learning?

Machine Learning process:

  1. Select the model to train.
  2. Manually performing feature extraction.

Deep learning process:

  1. Choose the architecture of the network.
  2. Features are automatically extracted  by feeding in the training data (such as images) along with the target class (label).


 

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