Deep Learning behind AI

Deep Learning (DL) :

It is a branch of ML where algos learn independently from excessive amount of information similarly to peoples, there algos get smarter with experience by gathering and processing of more and more data.

How Deep Learning work:

The magic behind Deep learning network is discovering the pattern & structure behind vast amount of data. The computation model consists of multiple layers, called neural network , where data is processed.

Neural Network

We have three elements in the neural network

1. Input Layer : Which is the data the we want to analyze 
2. Hidden Layer : At least two hidden layer which complete the computation with Deep learning algo (The real magic happen in this hidden layer)
3. Output Layer : Where we have calculated result

* Deep learning algo just do two tasks : 1) Correlation and 2)  Reduction in the Hidden Layers 

Implementation of Deep Learning:

Deep Learning program can be achieve by NLP (Natural Language Processing) that work on Neural Network concept (Just like a human brain work) And To implement the NLP we need some library or methods that are provided by three framework/library

1. Keras
2. Tensorflow
3. PyTourch

Keras : It is an open source Neural Network library written in Python. It is capable of running o top of R & Tensorflow framework. It has only high level method to perform only Deep Learning task (Not ML Task).

Tensorflow : It is an open source framework develop by google that have both low & high level methods to implement the ML & DL task.

Pytourch : It is an open source ML library for python based on tourch. It is use of NLP application.

Developed by Facebook AI research group.

Deep Learning is not AI:

Deep Learning is a branch of AI, AI extends way further As Deep learning can not think itself it can make decision based on data and instruct it was fed.

AI is supposed to the intimation of human consciousness and independent thinking process perform bu computer node.

Why Deep Learning is imp:

Deep learning can help to tackle the biggest problems of the words and can improve the human lives.