Deep Learning Approaches and its Evolution

Article contributed by Dr. Suresh Chandra Wariyal, Assistant Professor, Amrapali Institute of Technology and Sciences

The concept of Deep learning is unbeaten at dealing with different type of environment and tasks. This resource plays a vital role to accelerate the performance of deep learning. The utilization of hardware is the key aspect when number of application wants easy use of the resource. On the other way we can say that there are varieties of applications and these varieties of application may use different deep learning frameworks to utilize different amounts of resources.

Image recognition and speech recognition are the major aspect of deep learning and now the deep learning approach can be used for general purpose machine learning. The performance of machine learning is accelerated due to deep learning approach. However, it is not easy and not so cheap to deal with complex model and massive training data that occurred due to deep learning.

A number of online services nowadays rely upon machine learning to extract valuable information from data collected from various real time sources. There are different working areas of deep learning where it is implemented such as:-

  • The cultural evolution proposes a theory and experimental tests, relating difficulty of learning in deep architectures to culture and language.
  • Towards the Poisoning of Deep Learning Algorithms with Back-gradient Optimization.
  • Deep Learning Algorithm for Brain Tumor Detection and Analysis Using MR Brain Images which aims is to create deep learning algorithm to detect brain tumor using magnetic resonance brain images and analysis the performance of algorithm based on different values, accuracy, sensitivity, specificity.
  • Effective Media Traffic Classification Using Deep Learning in which Traffic classification (TC) is very important as it can provide useful information which can be used in the flexible management of the network.
  • SINGA: A Distributed Deep Learning Platform a distributed deep learning system, called SINGA, for training big models over large datasets.
  • The Business Impact of Deep Learning. This has broad implications for all organizations that rely on data analysis. It represents the latest development in a general trend towards more automated algorithms, and away from domain specific knowledge.
  • Medical image processing play great role in helping the radiologists and facility to patient’s diagnosis.
  • Deep neural networks (DNNs) are brain-inspired machine learning methods designed to recognize key patterns from raw data. State-of-the-art DNNs, even the simplest ones, require a huge amount of memory to store and retrieve data during computation.

The implication of this blog will explore the opportunity for various researcher to do their research on any area with the inference of deep learning.

Corona Warriors Felicitation at Amrapali Group of Institutes

Article contributed by Ms. Ritika Joshi. Photography by Mr. Umesh Joshi and Mr. Chinmay Joshi.

As the world has been facing the unprecedented crisis of Corona Pandemic since the year 2019, it has been our doctors, nurses, healthcare workers, frontline workers, police, the armed forces, the various NGO’s and Social worker group’s, who cemented their position as the foremost champions of humanity, saving humankind as it was staring at an existential crisis.

While on one hand people across India and around the globe were largely confined to their homes with businesses and educational institutions all shut down in an attempt to contain the virus, on the other hand, our warriors were leading the battle against COVID-19 from the front. Putting their own lives at risk with selfless determination for the sake of saving lives, they have truly been our heroes in these challenging times.

To appreciate & pay respect to this indomitable courage & the selfless efforts portrayed by them , Amrapali Group of Institutes organized a Felicitation programme to felicitate all our Frontline Warriors around the region, who amidst such deadly pandemic, worked day & night, beyond the call of duty just to save the mankind.

The Event was inaugurated with Lighting of the Lamps by Shri Vivek Rai (Deputy Sugar Commissioner, Uttarakhand), Dr. Bhagirathi Joshi (CMO), Dr. Jagdish Chandra (SP City) , followed by the welcome address delivered by Dr. Sanjay Dhingra, CEO, AGI. He expressed his heartfelt gratitude towards the Corona warriors and appreciated their selfless efforts in the name of the nation & expressed it as a matter of pride for Amrapali Institute to honor them.

The Chief Guest of the event, Shri Ajay Rautela, DIG Kumaun, however could not attend the event due to his busy schedule but he sent his warmest wishes for the success of the programme.

Shri Vivek Rai shared his experiences of the challenging times during Corona period. He said that there is a big need to be careful & aware about this deadly pandemic. He also motivated the people to work for the better future of the society and explained how its better to selflessly serve others rather than working only on personal interest. He thanked the Health Department, Frontline workers, Police, NGO and especially the people of Haldwani and said that disasters can be fought collectively only. He asked the people to support each other to defeated this deadly virus. While thanking the Amrapali Institute, he said that during the compassionate period, Amrapali gave full cooperation to the administration and voluntarily provided the institute campus as a Quarantine Center. Dr. Jagdish Chandra added that such programs increase the spirit of compassionate warriors. He thanked all the people present for the social work done during the period.

Furthermore, Shri Dinesh Mansera (Little Miracle Foundation) & Shri Amit Kholia (Haldwani Online 2011) discussed the work done by their organizations during the Pandemic. They remembered the contribution of all their team members.

The Management of the institute honored all the warriors by presenting them a bouquet and a memento as a token of appreciation. Among all those honored warriors who were felicitated were Mr. Vivek Rai (Deputy Sugar Commissioner, Uttarakhand), Dr. Jagdish Chandra (SP City), Shri Shantanu Parashar (CO City), Dr. Bhagirathi Joshi (CMO Nainital), Shri Dinesh Mansera (Little Miracle Foundation), Shri Amit Kholia (Haldwani Online 2011), Dr. PS Bhandari (Brij Lal Hospital), Dr Gaurav Singhal (Neelkanth Hospital), Dr. Paramjit Singh (Sushila Tiwari Hospital), Dr Ajay Pal (Brijlal Hospital), Dr. Neelambar Bhatt (Dr. Bhatt Clinic), Dr H.S.Bhandari (Central Hospital), Shri Navneet Rana (Himalaya Surgicals), Shri D.D. Joshi (Amar Ujala), Shri Abhishek Srivastava (Hindustan), Shri Shivam Agarwal (Times of India), Shri Nagesh Dubey (Uttaranchal Deep), Shri Shailendra Singh Danu (Vande Mataram), Shri Tarun Saxena (Ravi Roti Bank), Shri Ashish McGregor (Covid Aid) and Shri Dinesh Lweshali (Haldwani Online Sanstha).

The Vote of Thanks was proposed by Mrs. Bindu Chawla, where she thanked all the present dignitaries who gave their precious time to grace the occasion.
The Event coordinated by Prof. (Dr.) Siddhartha Sharma (Director CTPD) was hosted by Ms. Pooja Mehta and Ms. Manupriya Choudhary.

Mr. Narender Dhingra (Secretary AGI), Dr. Sanjay Dhingra (CEO AGI), Mrs. Bindu Chawla (Treasurer AGI), Prof. (Dr.) S. K. Singh (COO AIHM), Prof. (Dr.) M. K. Pandey (Director AITS), Prof. (Dr.) Ritvik Dubey (Director FCBM), Prof. Prashant Sharma (Dean Academics AIHM), Faculty, Staff Members and Students were present on the occasion.

Network processor and its uses

Article contributed by Mr. Hem Chandra Joshi, Assistant Professor, Amrapali Institute of Technology and Sciences

Since in Current networking Situation Data rates are increasing, Protocols are becoming more dynamic and complicated and Protocols are being introduced more rapidly so traditional GP (General-purpose Processor), ASIC (Application Specific Integrated Circuit) are not optimized for networking applications

A network processor is an integrated circuit which includes a feature set specifically targeted at the networking application domain .Network processors are typically software programmable devices and would have generic characteristics  same as general purpose central process units that are usually employed in various types of equipment and products. Network processors have evolved into ICs with specific functions. This evolution has resulted in more flexible and more complex ICs being created. The newer circuits allow a single hardware IC design to undertake  variety of various functions where the appropriate software is installed since they are programmable A Network processor  executes programs to handle packets in a data network, network processors are used in the manufacture of many different types of network equipment like router, software routers and switches, Firewalls, Session border controllers, Intrusion detection devices, Intrusion prevention devices and Network monitoring systems

Some latest network processor

Marvell’s Xelerated

Marvell’s Xelerated family of network processors is AN integral piece of the next-generation network. Designed for carrier LAN platforms for unified fiber access, mobile backhaul, railway LAN, packet-optical transport, as well as  switching systems in cloud computing environments, the Xelerated product modify wealthy services at competitive worth points.

Cisco nPower™ X1

The Internet of Everything would require extremely advanced silicon innovation and it begins today with the launch of the world’s most scalable and programmable network processor, the Cisco nPower™ X1. With quite 4 billion transistors, this highly integrated 400 Gbps throughput single-chip will enable Terabit class solutions

Broadcom hits 100Gbps network processor

Broadcom fourth generation LAN network processor, the BCM88030, achieves full-duplex 100 Gbps performance courtesy of a massively parallel design supported sixty four packet process cores, every running at 1GHz. the company says four of the elements might be enclosed in a line card to attain 400 Gbps performance

Where are network processors used?

A network processor is used in a network traffic manager, which is placed between a network interface and a switch fabric in a switcher/router. The traffic manager decides where, when, and how incoming and outgoing data will be sent next. It strips, adds, and modifies packet headers. It also makes routing and schedule decisions. The traffic manager has interfaces to the network and to the switch fabric. In Figure these are labeled PHY (physical interface) and CSIX (common switch interface) respectively

Early traffic managers were build around a general purpose processor (GPP). The GPP was support by a direct memory access controller (DMAC) and simple I/O devices. Traffic was transfer in protocol data units (PDUs) between memory and the switch fabric or network interface.

This new architecture modified as network speed outpaced processor and bus speed. The switch fabric interface and network interface were integrated into a single application-specific integrated circuit (ASIC) to allow PDUs to be transferred without passing over the system bus

This new design meant that management of individual PDUs was delegated to the ASIC. . The ASIC ran hard-wired network protocols. It passed the majority of traffic through, transferring to the GPP only those PDUs involved in control or signaling, or those that required unusual processing. Network processors are designed to switch the fixed-function ASIC, adding software programmability to wire speed processing

Conclusion and future scope

Network  processor have an important role in networking as we know Configure a router for existing or new network is very tedious job so to avoid manual process again and again we can use programmed  network processor in router so it Can automatically configured

Now a days we are trying to use IPV6 in place of IPV4 so the number of user increasing tremendously so maintain and update configure of router is not so easy if we Use a programmed network processor in router it becomes much easy


1– Jianhua Huang “Network processor design” ASIC 5th international conference (volume 1) on 21-24 Oct 2003.

2– M. Coss and R. Sharp, “The network processor decision” in Bell Labs Technical Journal, vol. 9, no. 1, pp. 177-189, 2004, doi: 10.1002/bltj.20012.

3-Sanchita Vishwa and Rajeshwari M. Hegde “Optimization of network processor microarchitecture” in International Journal of Electrical, Electronics and Data Communication, ISSN(p): 2320-2084, ISSN(e): 2321-2950 Volume-7, Issue-4, Apr.-2019