Learn Machine Learning ( Deep Learning ) Level 1
What you'll learn
- Machine Learning, Neural Nets
Requirements
- Matlab skills, basic programming
Description
Are you aiming at starting a career in Deep Learning? Look no further. This course introduces you to the field of deep learning and help you answer a lot of questions that folks are asking nowadays, such as what is deep learning and what's the connection between deep learning and artificial neural networks?
You will learn about Deep learning as its a Level 1 Course. It covers the
Basics of Machine Learning specifically Deep Learning,
Types of Deep Learning,
Deep Learning with MATLAB, Exclusive OR Gate implementation via Deep Learning,
Multiple Layer Perceptron example and function approximation example application to Control Systems,
Convolutional Neural Networks (CNN),
First CNN MATLAB coding example with Alexnet,
Second example with Googlenet,
Brief history of Alexnet and Google Net.
After completing this course, learners should be able to:
• describe what a deep learning model is, what a neural network is.
• demonstrate an understanding of supervised deep learning models such as convolutional neural networks and multiple layer perceptron.
• build deep learning models and networks using MATLAB.
Who this course is for:
- Computer Science and Engineering students, Industry professionals
Course content
- Preview46:29
- 10:18Types of Deep Learning
- 07:30Deep Learning Applications and MATLAB
- 13:30XOR Example
Instructor
![Yasir Amir](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.2 Instructor Rating
- 17 Reviews
- 75 Students
- 3 Courses
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: 11+ 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