Skip to main content

Deep Learning

 


                            Deep Learning




While Machine Learning is a subset of Artificial Intelligence, Deep Learning is a specialized subset of Machine Learning. 


Deep Learning layers algorithms to create a Neural Network, an artificial replication of the structure and functionality of the brain, enabling AI systems to continuously learn on the job and improve the quality and accuracy of results. This is what enables these systems to learn from unstructured data such as photos, videos, and audio files. Deep Learning, for example, enables natural language understanding capabilities of AI systems, and allows them to work out the context and intent of what is being conveyed. Deep learning algorithms do not directly map input to output. Instead, they rely on several layers of processing units. Each layer passes its output to the next layer, which processes it and passes it to the next. The many layers is why it’s called deep learning. 


When creating deep learning algorithms, developers and engineers configure the number of layers and the type of functions that connect the outputs of each layer to the inputs of the next. Then they train the model by providing it with lots of annotated examples. 


For instance, you give a deep learning algorithm thousands of images and labels that correspond to the content of each image. The algorithm will run the those examples through its layered neural network, and adjust the weights of the variables in each layer of the neural network to be able to detect the common patterns that define the images with similar labels. 



Deep Learning fixes one of the major problems present in older generations of learning algorithms. While the efficiency and performance of machine learning algorithms plateau as the datasets grow, deep learning algorithms continue to improve as they are fed more data. Deep Learning has proven to be very efficient at various tasks, including image captioning, voice recognition and transcription, facial recognition, medical imaging, and language translation. Deep Learning is also one of the main components of driverless cars.




Avinash C. Pillai

Technology Director

syniverse® 

The world’s most connected company™ 

Website / Twitter / LinkedIn/ connected company™  


Comments

Post a Comment

Popular posts from this blog

What is Cybersecurity Risk? Definition & Factors to Consider

  Cybersecurity risk has become a leading priority for organizations as they embrace digital transformation and leverage advanced technology solutions to drive business growth and optimize efficiencies. Additionally, many organizations are increasingly reliant on third-party and   fourth-party vendors   or programs.  In this post, we’ll explore what cybersecurity risk is and take a look at some key cybersecurity risk factors that organizations across all industries should keep in mind as they build and refine their   cybersecurity risk management strategy .   What is cybersecurity risk? Cybersecurity risk refers to   potential threats and vulnerabilities   in digital systems. It encompasses the likelihood of a cyberattack compromising data or systems, leading to financial,   reputational , or operational damage. A few examples of cybersecurity risks include   ransomware ,   malware ,   insider threats ,   phishing attacks ...
Post a Comment
Read more

How To Manage Dell Servers using OMSA – OpenManage Server Administrator On Linux

OMSA is a web based application to manage DELL PowerEdge Servers. Using OMSA you can perform proactive system monitoring, system diagnosis, troubleshoot hardware issues and configure RAID etc., You can also view and manage hardware’s embedded system management (ESM) log using OMSA. This is an jumpstart guide that explains how to install Dell OMSA on Linux. I have also provided few screenshots of DELL OMSA web application. 1. Download DELL OMSA Go to DELL support website -> click on “Drivers & Downloads” -> choose your server model (in my case, I selected PowerEdge 2850) -> choose the operating system -> scroll-down and expand ‘Systems Management’ -> Click on ‘OpenManage Server Administrator Managed Node’ -> Click on OM_5.5.0_ManNode_A00.tar.gz to download it. You can directly download it to your Linux server as shown below. # mkdir -p /usr/local/omsa # cd /usr/local/omsa # wget http://ftp.us.dell.com/sysman/OM_5.5.0_ManNode_A00.tar.gz 2....
Post a Comment
Read more

Adding a New Hard Drive to Linux using LVM

I did this on RHEL 5.5. You should have the new drive created and added to the machine before you start anything.First you need to fdisk the drive like any other drive in linux. One key step is that you need to change the type; option ?t? to ?8e? for lvm. root@itsme ~# fdisk /dev/sdc Device contains neither a valid DOS partition table, nor Sun, SGI or OSF disklabel Building a new DOS disklabel. Changes will remain in memory only,until you decide to write them. After that, of course, the previous content won't be recoverable. The number of cylinders for this disk is set to 7832. There is nothing wrong with that, but this is larger than 1024, and could in certain setups cause problems with: 1) software that runs at boot time (e.g., old versions of LILO) 2) booting and partitioning software from other OSs (e.g., DOS FDISK, OS/2 FDISK) Warning: invalid flag 0x0000 of partition table 4 will be corrected by w(rite) Command (m for help): n Command action e ex...
Post a Comment
Read more