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Passion path
Table of contents 1. Name & MIU
2. My goal
3. Project idea
4. Aim of project
5. Latest updates of project
2
1.
Name &MIU
3
1. Name & MIU
4
Q-why MIU?
I want to know what my passion .
Q-what I did before MIU ?
I was trying to make self study but I found that
I’m not sure if this track what I really want. So I
decided to attend “catch career” event and this
is …….
2.
My Goal
5
2. My goal I want to learn machine learning but I didn’t know how to
start !!
6
I decided to participate in MIU to start learning machine learning
and use it in my graduation project.
2. My goal Thanks to Dr / Sherin Elgokhy.
She helped me to sart my way to what I want.
7
I have started to study ML and this path of courses :-
-Machine learning -----(Dr / Sherin Elgokhy)
completed it on coursera
-Intro to machine learning -------Udacity
-Machine learning specialization -----University of Washington
After that you can decide what you want to learn next.
3.
Project idea
8
3. Project
idea
Machine can know from face image of human what his/her gender and age
are.
-Input face image to machine and it will tell you gender and age of this human.
-machine uses kind of neural network called Convolution Neural Network.
9
machine Gender & ageImage
3. Project
idea
10
4.
Aim of
Project
11
Aim is different .4. Aim of
project
me
Try to apply what I learn and acquires
knowledge and technical skills.
12
general
Vital for some interactive AI systems.
“
Develop a passion for learning. If you
do, you will never cease to grow.
Anthony J. D'Angelo
13
4.
Latest
updates of
project
14
4. Latest
updates of
project
15
Stages Start time End time Case
Data
preparation for
gender
recognition
10 / 7 16 / 7 Done
-Applied PCA
-Build Neural
Network and
Tuning
parameters
-Training NN
-Evaluating NN
17 / 7 31 / 7 Done
(didn’t apply
PCA)
-make some
changes on NN
if Evaluating is
not good
1 / 8 4 / 8 Done
Data
preparation for
age recognition
5 / 8 9 / 8 60%
4. Latest
updates of
project
16
Stages Start time End time Case
The same 2nd
step and 3rd in
phase 1
10/8 20/8 20%
Combine 2
phases and
test them
21/8 25/ 8 Not yet
Try to make
improvements
on project
26/8 6/9 Not yet
-challenge to
apply it on
video.
7/9 Last day on
phase 3
Not yet
4. Latest
updates of
project
17
1.Gender classification
 prediction
4. Latest
updates of
project
18
1.Gender classification
 prediction
4. Latest
updates of
project
19
2. Age recognition
 Data
4. Latest
updates of
project
20
2. Age recognition
 Data
Place your screenshot here
21
4. Latest
updates of
project
2. Age recognition
 Code (sample)
Team
22
Hanan Bahy
-for more information:
 https://github.com/HananBahy
 hananbahy12@gmail.com
Coordinator
ENG / Emad El-Din Ahmed
Thank you
Any Questions ?
23

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Passion path

  • 2. Table of contents 1. Name & MIU 2. My goal 3. Project idea 4. Aim of project 5. Latest updates of project 2
  • 4. 1. Name & MIU 4 Q-why MIU? I want to know what my passion . Q-what I did before MIU ? I was trying to make self study but I found that I’m not sure if this track what I really want. So I decided to attend “catch career” event and this is …….
  • 6. 2. My goal I want to learn machine learning but I didn’t know how to start !! 6 I decided to participate in MIU to start learning machine learning and use it in my graduation project.
  • 7. 2. My goal Thanks to Dr / Sherin Elgokhy. She helped me to sart my way to what I want. 7 I have started to study ML and this path of courses :- -Machine learning -----(Dr / Sherin Elgokhy) completed it on coursera -Intro to machine learning -------Udacity -Machine learning specialization -----University of Washington After that you can decide what you want to learn next.
  • 9. 3. Project idea Machine can know from face image of human what his/her gender and age are. -Input face image to machine and it will tell you gender and age of this human. -machine uses kind of neural network called Convolution Neural Network. 9 machine Gender & ageImage
  • 12. Aim is different .4. Aim of project me Try to apply what I learn and acquires knowledge and technical skills. 12 general Vital for some interactive AI systems.
  • 13. “ Develop a passion for learning. If you do, you will never cease to grow. Anthony J. D'Angelo 13
  • 15. 4. Latest updates of project 15 Stages Start time End time Case Data preparation for gender recognition 10 / 7 16 / 7 Done -Applied PCA -Build Neural Network and Tuning parameters -Training NN -Evaluating NN 17 / 7 31 / 7 Done (didn’t apply PCA) -make some changes on NN if Evaluating is not good 1 / 8 4 / 8 Done Data preparation for age recognition 5 / 8 9 / 8 60%
  • 16. 4. Latest updates of project 16 Stages Start time End time Case The same 2nd step and 3rd in phase 1 10/8 20/8 20% Combine 2 phases and test them 21/8 25/ 8 Not yet Try to make improvements on project 26/8 6/9 Not yet -challenge to apply it on video. 7/9 Last day on phase 3 Not yet
  • 17. 4. Latest updates of project 17 1.Gender classification  prediction
  • 18. 4. Latest updates of project 18 1.Gender classification  prediction
  • 19. 4. Latest updates of project 19 2. Age recognition  Data
  • 20. 4. Latest updates of project 20 2. Age recognition  Data
  • 21. Place your screenshot here 21 4. Latest updates of project 2. Age recognition  Code (sample)
  • 22. Team 22 Hanan Bahy -for more information:  https://github.com/HananBahy  hananbahy12@gmail.com Coordinator ENG / Emad El-Din Ahmed