That’s because all papers’ codes are not in Jupiter notebooks. The codes are
just python files.
According to me in my workflow, I won’t need Colab unless I test something or
some tool in a hurry. But at the end, write script that is callable anywhere in
the system.
Colab is very useful in learning Deep Learning. If you signup for paid course,
they will give you access to resources. You may need to discuss its
accessibility with the course provider or the hosting platform.
Regards,
Mohamed E. Fayed
On 28 Jan 2022, at 6:30 PM, Muhammad Fayed <m10fayed@xxxxxxxxx> wrote:
BY THE WAY, it is worth mentioning that I won’t need it in my daily work. In
NLP, we edit existing codes like any python project, we don’t require tracing
code much.
If I need something interactive, I just use iPython in terminal and it works.
Regards,
Mohamed E. Fayed
On 28 Jan 2022, at 6:28 PM, Muhammad Fayed <m10fayed@xxxxxxxxx> wrote:
That’s good to hear.
What software do you use to access it?
I use Mac OS 12.2 and it is accessible to some extent but not usable to me.
In other words, it will decrease my productivity significantly if I want to
use it.
Regards,
Mohamed E. Fayed
On 28 Jan 2022, at 4:10 PM, <travis@xxxxxxxxxxxxxx> <travis@xxxxxxxxxxxxxx>
wrote:
Regarding Jupyter Notebook: I did not understand your comments. The last I
checked, Google Collab was pretty accessible including the code editor. And
the output is very nice e.g., printing a Pandas dataframe gives actual HTML
tables.
That said, for a better editing experience I prefer VS Code's Jupyter
Notebook feature.
-----Original Message-----
From: program-l-bounce@xxxxxxxxxxxxx <program-l-bounce@xxxxxxxxxxxxx> On
Behalf Of Muhammad Fayed
Sent: Friday, January 28, 2022 6:23 AM
To: program-l@xxxxxxxxxxxxx
Subject: [program-l] Re: How much machine learning and deep learning is
accessible for blind users in production?
Hi,
Hope my mail finds you well,
Regarding your question, I’m an associate R&D Engineer in AIC in Neural
Machine Translation team. Our work is mainly in Deep learning. Let me
benefit you.
First, regarding Math, deep learning is not about math only, it is about
data cleaning and how to augment the data to generate larger data and to
benefit the model and make the model robust against small changes. I read
papers a lot of the time, and I just ignore the mathematics since it is
written in PDF and PDFs are known for being poorly accessible in math
content.
You will need to study matrices mathematics, which is annoying at the
beginning, but you can juts know how to do it and map it to single
variables. Matrices equations are not different from single variable
equations to be easily understandable. But, you need to watch out of
matrices dimensions, which is nota big deal when you are used to.
If I need to understand mathematics of a paper, I just request from a
colleague to read it out for me, or search for online explanation if the
paper is influential and not very new.
Second, regarding tools to use, you only need to access a high performance
GPU. That’s the main issue. Personally, I was using Google Cloud Platform
for my final project in the University and access my virtual machine via
SSH protocols. Jupiter Notebooks are not accessible to the best of my
knowledge till now for editing. So, you can’t depend on Google Colab.
Update me if there is any good news about accessibility of Jupiter
Notebooks.
In work, you will work on either MS Azure, AWS, Google Cloud Platform GCP
or your companies cluster and all are accessible via SSH protocol.
So, don’t try to escape from using terminal.
Mostly in your work, you will require dealing with Linux, unless you work
in Microsoft itself. So, you may buy a linux machine for yourself or a
Macbook or whatever Mac device. The terminal across them has slight
changes. I don’t think Windows Subsystem for Linux is mature enough now to
fully function as a linux machine. You should determine which makes you
happier in work.
The life in AI is not so great yet, but it requires time til it becomes so
and may be sighted persons won’t care very soon.
Hope it helps,
Regards,
Mohamed E. Fayed
On 28 Jan 2022, at 1:54 PM, hamidreza abroshan
<hamidreza.abroshan@xxxxxxxxx> wrote:
Hey all,
As I mentioned in my introduction email, I did not study computer science
and do not have a math background.
I am just interested in learning AI and machine learning and want to get
more info about existing tools regarding accessibility.
The other challenge Is math(I think.)
I want to know If a blind dev wants to switch to machine learning and
works in production, What are the most challenges that he should cope with?
How deep is math knowledge required?
How can he analyze the charts and similar visual graphics?
Do you know any accessible resources?
Thanks for your attention!
--
hamidreza
** To leave the list, click on the immediately-following link:-
** [mailto:program-l-request@xxxxxxxxxxxxx?subject=unsubscribe]
** If this link doesn't work then send a message to:
** program-l-request@xxxxxxxxxxxxx
** and in the Subject line type
** unsubscribe
** For other list commands such as vacation mode, click on the
** immediately-following link:-
** [mailto:program-l-request@xxxxxxxxxxxxx?subject=faq]
** or send a message, to
** program-l-request@xxxxxxxxxxxxx with the Subject:- faq
** To leave the list, click on the immediately-following link:-
** [mailto:program-l-request@xxxxxxxxxxxxx?subject=unsubscribe]
** If this link doesn't work then send a message to:
** program-l-request@xxxxxxxxxxxxx
** and in the Subject line type
** unsubscribe
** For other list commands such as vacation mode, click on the
** immediately-following link:-
** [mailto:program-l-request@xxxxxxxxxxxxx?subject=faq]
** or send a message, to
** program-l-request@xxxxxxxxxxxxx with the Subject:- faq
