Deep Learning | What is Deep Learning | Neural Network | Machine Learning | Artificial Intelligence | Books

What is Deep Learning?

   

       Deep Learning is a broader concept of machine learning. Deep learning is basically learning from the real life world with the help  of neural network and giving appropriate output at present time.

     Neural network can be called as the brain where all the data is present. Neural network is connection between millions of raw data that is been used for deep learning process. It is very similar to the machine learning in some functions as both are used to learn from the real life world.

     One main advantage in deep learning is that it does not require any specific information for learning , in-fact it generates the features for the object and give the appropriate output. Whereas in machine learning, the features are inserted for a specific object. That is the reason that machine learning are not used for complex problems, instead deep learning is used.

Why we need Deep Learning?

     In this fast growing world, we have a lots of objects which contain a lots of data which does complex jobs. Here complex jobs are referred to the work which requires a huge amount of data. This complex data needs to be analysed and interpreted for the desired output. 

     But the machine learning as uses small objects whose features are already present. So to overcome this problem deep learning is used. 

     It can handle a huge amount of data and does not require the features to be present. Deep learning is so capable that it generates the features of the object and give the appropriate output. So it is the one of the important features of Artificial Intelligence.   

Must read Books for Deep Learning      

       

 Deep Learning (Adaptive Computation and Machine Learning series)

    Deep Learning with Python

Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow 

Neural Networks and Deep Learning: A Textbook

                      

Useful Applications of Deep Learning

• Self driving cars: Deep learning algorithms are used in identifying objects so that car can make appropriate decisions while driving.
• Language Processing : Deep learning helps in language translation in multiple languages.
• Medical : Deep learning helps doctors to find tumor for cancer like cells and its spread in body. 
• Uber : It also helps in analyzing and displaying the suitable route and required time for the destination. on the basis of previous data from same destination.

5G | Definition | Jio-Google Partnership | Available in INDIA

What is 5G ?

    5G is a 5^th generation mobile network. It is globally new wireless network after a series of 1G, 2G, 3G and 4G. It comes with the high range of bandwidth which makes the downloading speed extremely high upto 10Gbps (Gigabits per second). With this high bandwidth it makes it possible for new applications in Internet of Things (IoT).

        It comes with some improved specification such as ultra low latency i.e. the gap time between server and user is reduced , more reliability , massive network capacity and increased availability. But current 4G cellphones will not be able to use 5G , they will require 5G enabled wireless devices.

Why we need 5G network?

      As of now we all have been adopted 4G network due to its improvements from 3G, 5G has come with its some of the high improvements from 4G and will provide better facilities from what we use.

Here are some points that are improved

 1. More capable than 4G

     5G will now be able to work in different bands ( low , medium ,high) and different spectrum that enables its connectivity in every possible region and will support new services to massive IoT.

 2. Works in all bandwidth

     5G will allow connections in every available spectrum form low(1GHz) to medium(1-6 GHz) to high(>6 GHz) known as millimeter Wave(mmWave).

 3. Faster

     5G delivers upto 20Gbps at peak speed and 100+ Mbps at an average speed.

 4. More Capacity

      5G supports high traffic more upto 100 times and increases efficiency.

 5.Low Latency 

      5G provides low latency and instant real time access.

When 5G network will be available?

    For 5G to ready for users its has to face many problems such as 5G radio spectrum and 5g network equipment and a lot of regional testing. Jio has announced that it is ready for the tests and will be starting from early 2021 and expected to launch the 5G network by mid 2021. 

     Google has invested 33737 crores in Jio , with the aim of providing internet to all and improving mobile experience for all. Ericsson, a Sweden company,  known for its network equipment, has said that 5G will likely be available in India from 2022.

COMPUTER VISION | Definition | How computer vision works | Future Scope

Have you ever wondered that how it would be if cars, bus, can have eyes that sees everything around it and work according to the safety of the people. This would be great. It will reduce the accidents on roads and can make certain on-road decisions such as making way for the ambulances and fire-engines.

 Computer vision is the way to achieve this.

 COMPUTER VISION

         Computer vision is the scientific field which helps the computer to understand the world by digital images and videos taken from camera. It is the field of Artificial intelligence which recognize the objects from the camera feed and give the desired output. It include certain tasks such as acquiring, processing, analyzing and then understanding the digital data in the form of image or video taken from the camera. This tasks are completed referring to the data already available on the web.At present it has been used in Augmented Reality (AR), Virtual Reality(VR) and many more.

For example : if your device sees an apple, then it refers to the shape , size , color  and dimensions of the apple referring to the data of the apple already present and give output showing that it is an apple.  

How Computer Vision Works?

   There are 3 simple steps to understand

      Step 1.

                                               

          

      Camera is used to capture the image. Whatever it sees gets captured to process further. At present every mobile, tablet, laptop, computer has got the in-build cameras in it, so it is easy to capture image anywhere and anytime.

        Step 2. 

                                                                                                                          

           

    Deep learning plays a very important role in the processing of the captured image. Deep learning models are created and fed with millions of available and possible data about millions of things. They analyze and process the captured image give the desired output with reference of the available data.

       Step 3.

We get the Output.