Amr Rashed

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I received the B.Sc. and M.Sc. degrees in Electronic and Communication Engineering from Faculty of Engineering at Mansoura university(FEMU),in 2005 I was currently working on biomedical image processing ,computer vision ,MATLAB programming language.in 2007 I was working on embedded systems including FPGA and VHDL ,License Plate Recognition(LPR).in 2010 I wass working on signal processing, speaker and voice recognition, traffic signals recognition. my current research is on image, signal processing, computer vision, FPGA software/hardware, and neural network .I was been lecture of electronic circuits at the Misr Engineering and Technology (MET).now I already working at Taif university a...

matlab deep learning neural networks architectures deep learning convolution neural network image processing microcontroller embedded system discrete math ch5 counting + proofs discrete math chapter : 8 relations chapter 1: the foundations: logic and proofs and matrices sums sequences functions chapter 2: basic structures: sets common sets sets discrete mathematics cnn ml fpga sequence alignment rna dna امن شبكات الحاسب امن نظم المعلومات data preparation python anaconda orange machine learning vb.net v.b plotting computer vision introduction to fpga vhdl fourier transform.

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Amr Rashed

اساسيات امن المعلومات للمدرب سلطان المضياني

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Notes from Coursera Deep Learning courses by Andrew Ng

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"Accelerating Deep Learning Using Altera FPGAs," a Presentation from Intel

Python for Computer Vision - Revision

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الحلول العددية للمعادلات التفاضلية العادية

Rule based algorithm for handwritten characters recognition

What is pattern recognition (lecture 6 of 6)

Introduction to Neural networks (under graduate course) Lecture 5 of 9

Introduction to Neural networks (under graduate course) Lecture 4 of 9

Introduction to Neural networks (under graduate course) Lecture 6 of 9

Introduction to Neural networks (under graduate course) Lecture 8 of 9

Introduction to Neural networks (under graduate course) Lecture 7 of 9

Introduction to Neural networks (under graduate course) Lecture 9 of 9

Introduction to Neural networks (under graduate course) Lecture 3 of 9

Introduction to Neural networks (under graduate course) Lecture 2 of 9