Deep Learning - Convolutional Neural Networks

Easier way to learn Convolutional Neural Networks with Python

Easier way to learn Convolutional Neural Networks with Python

Overview

Convolutional Neural Networks (Deep Learning)

Artificial Intelligence Enthusiasts and (even Practitioners), Software Engineering students and professionals, Electrical Engineers,

Machine Learning, Python

The age of intelligent machines that can see is here! Harness the transformative power of artificial intelligence. Now, there's an easier way to learn Convolutional Neural Networks (ConvNets) with Python.

In just a few short years, ConvNets  have ignited a revolution in computer vision. They've propelled us beyond clunky algorithms, empowering technologies like self-driving cars, unlocking the mysteries hidden within medical imagery through automated analysis, and even achieving near-human accuracy in facial recognition.

This course equips you with the skills to join this transformative field and be a part of developing the next generation of groundbreaking applications.

By the end, you'll be able to:

  • Explain ConvNets, their components (convolutional layers, pooling layers, activation functions), and their inner workings.

  • Design and code ConvNets using popular deep learning library like TensorFlow.

  • Critically analyze existing ConvNet designs and algorithms, identifying strengths and weaknesses for different tasks.

This course is your launchpad! It equips you with the essential building blocks, the rocketship fuel, to propel yourself into the vast and ever-expanding universe of Artificial Intelligence and Machine Learning. Here, you'll gain the foundational skills to navigate this incredible frontier, but the journey doesn't stop here. Dive deeper, explore further, and keep learning. This course is just the beginning of your exciting exploration!

Yasir Amir

M Yasir Amir Khan


Specialization: Control Systems- Nonlinear, Linear and Neural Control.

Education:

MS Electrical Engineering N.U.S.T (PNEC) CGPA 4.0/4.0 2008

BE Electrical Engineering N.U.S.T (PNEC) CGPA 3.81/4.0 2003

HSSC Pre-Engineering Federal Board (Bahria College) 72% 1999

SSC Science Federal Board (Bahria College) 81% 1997

Distinction:

1- President of Pakistan Gold Medal for securing First Position in MS.

2- President of Pakistan Gold Medal for securing First Position in B.E.

3- Rector NUST Gold Medal for Best Final Year Project in B.E.

Teaching Experience: Total: 15+ years

Bahria University (Karachi) August 2014 – till to date.

Faculty Member (Teaching and Research)

HITEC University (Taxila) Sep 2011 -- August 2013 2 years

Faculty Member (Teaching and Research)

NUCES-FAST (Karachi) May 2008 – August 2011 3 years 3m

Faculty Member (Teaching and Research)

NUST (PNEC) May 2005- May 2006. 1 year

Lab-Engineer (Laboratory Demonstrations)

Other Experience:

Consultant Electronic Engineer (Part-Time) May 2005 – August 2014

Projects via Online Workplaces:

Altanova (Pakistan) Dec 2003- April 2005 1 year 6m

Design Engineer US Based Test Board Design/ Fabrication Firm

Publications:

Journal Papers

[1] M. Yasir Amir, V. Abbas, “Modeling and Neural Control of Quadrotor Helicopter”, in Yanbu Journal of Engineering and Science, ISSN 1658-5321, Vol 2, pp 35-48, Yanbu Saudi Arabia, April 2011.

[2] M Yasir Amir, Vali Uddin Abbas, “Modeling, Simulation and Neural Control of Wheeled Inverted Pendulum”, in Yanbu Journal of Engineering and Science, ISSN 1658-5321, Vol 11, pp 51-59, Yanbu Saudi Arabia, Dec 2015.

[3] M. Yasir Amir, H. Rahseed, U Shahid, “Voice Controlled Robot using Neural Network based Speech Recognition using Linear Predictive Coding”, in BUJICT (former HEC Y-Category), ISSN 1999-4974, Vol 9, pp 47-49 , Bahria University, Pakistan, Sept 2016.

[4] M. Yasir Amir, H. Rahseed, U Shahid, “Recent Advancements on Drivable Free Space Estimation using Monocular Vision”, in BUJICT (former HEC Y-Category), ISSN 1999-4974, Vol 10, Issue 1, pp 51-55 , Bahria University, Pakistan, June 2017.

[5] M Yasir, Vali Uddin, Umer, “Advanced Robust Control Techniques: Comparison and Application to highly nonlinear system”, in BUJICT (HEC Z-Category), ISSN 1999-4974, Vol 11, Issue 2, pp 29-34 , Bahria University, Pakistan, December 2018.Conference Papers

[1] M. Yasir Amir, V. Abbas, “Modeling of Quadrotor Helicopter Dynamics”, in Proc of International Conference on Smart Manufacturing Applications, ISBN: 78-89-962150-0-4, Gyeonggi-do, S. Korea, May 2008, pp100-105.

[2] Vali Abbas, M. Yasir Amir, “Mulitlayer Perceptron for Direct Inverse Control of a Nonlinear System”, in Proc of International Conference on Computer Control and Communication, ISBN: 978-1-4244-3313-1, Karachi, February 2009, pp1-5.

[3] Yasir Amir et. al., “Modeling and Simulation approach for an Industrial Manufacturing Execution System,” in Proc. of 3rd IEEE International Conference on Systems Engineering and Technology, ISBN 978-1- 4799-1028-1, Shah Alam, Malaysia, 19-20 August 2013, pages 26-31.

Books

[1] M. Yasir Amir, Modeling and Neural Control of Quadrotor Helicopter: MATLAB-SIMULINK Based

Modeling, Simulation and Neural Control of Quadrotor Helicopter, Berlin, Germany: LAP-LAMBERT, August 2010, ISBN-13: 978-3838392981.

[2] A. Samad, M Yasir Amir, A Shaikh, “Sentry Gun with Face Detection”, Berlin, Germany: LAP- LAMBERT, June 2011, ISBN-13: 978-3845402031.

[3] M Yasir Amir, Basics of Classical and Neural Control, Berlin, Germany: LAP-LAMBERT, September 2011, ISBN-13: 978-3846507568.

[4] M Yasir Amir, Noman Ovais, Wireless Electrical Power Measurement and Monitoring System, Berlin, Germany: LAP LAMBERT Academic, 20 February 2013, ISBN 978-3659351785.

MS Thesis Supervised

1. Robust Integral of Sign of Error based Control of Twin Rotor System

2. Terminal Sliding Mode Control of Twin Rotor System

Important UG FYPs Supervised:

Design and fabrication of I) Quadrotor Helicopter, II) Development of Battery Electric

Vehicle, III) CNC Lathe Machine, IV) Sentry Gun with Face Detection and Target Locking, V)

Cell phone charger using EM-Waves and Solar Energy, VI) Self balancing Wheeled Inverted

Pendulum SEGBOT like robot , VII) Atmospheric water generator, VIII) Solar thermal power

generation using Seebeck effect.

Other Projects: a. Design of High Speed, Controlled Impedance, Minimum Cross Talk, Analog, Digital

and Mixed Signal Test Boards of up to 36 layer, using PGAs, BGAs, SOICs and other

SMT components for customers including Intel, Xilinx, Altera, Cypress, AMD etc.

b. Manny short term projects such as designing reconfigurable PV cell array, controlled rectifier, line following robot, super-capacitor based regenerative braking, EMF detector for paranormal applications etc.

c. Design and Fabrication of 8085 microprocessor based hand held computer with

Alphanumeric display and 8KB RAM. (1998 during my holidays after HSSC-I)

d. Obstacle Avoiding Robot using infra-red. (1999 after HSSC)

e. Secure Voice Communication System using Encryption.(B.E Final Year Project)

f. Fabricated many small hobby projects such as short range voice communication system, AF Amplifiers etc. using SM.

Membership: Pakistan Engineering Council (Elect/20302)

Computer Skills: Microsoft Windows, MS Office, MS Project, Latex.

Assembly, C, C++, MATLAB-Simulink, EAGLE, ORCAD, PCAD, EWB, Multisim,

Proteus (ISIS, ARES)

Other Skills: Jeep 4x4 electrical wiring and brake/ suspension/steering repair and maintenance hands

on experience.

Personal: Married Muslim, Age 39+ years

Language Skills: English/ Urdu (Read, Write and


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