Date   
Getting Started with Deep Science

ashi.mahe@...
 

Am deep learning/Science enthusiast. 

What is the better way to get stated?

Re: Getting Started with Deep Science

Donald Liu
 

Welcome to Acumos Documentation!

Acumos Wiki

Cheers,
Donald

On 26 Apr 2018, at 14:42, ashi.mahe@... wrote:

Am deep learning/Science enthusiast. 

What is the better way to get stated?

Re: Getting Started with Deep Science

Donald Liu
 

The initial project of LF Deep Learning is the Acumos AI Project (https://www.acumos.org/), a comprehensive platform for AI model discovery, development and sharing.

The below two links seem to be good to get started with:
1. Welcome to Acumos Documentation!
 
2. Acumos Wiki

Re: Getting Started with Deep Science

malineni maurya
 

1)Andrew Ng's coursera deeplearning specialisation takes bottom-up approach which means he explains things from scratch and builds things on the base concepts introduced.
2)Jeremy Howard's fast.ai course does things from the top down. So you get into action first and learn things later. This is more suitable if you come from a programming background
3)Siraj Raval has his own way of explaining complex things in an engaging way. You can check out his videos on youtube
-- 
Regards,
Maurya



Re: Getting Started with Deep Science

denys.marushchak@...
 

A great start is a Stanford course CS231n by Fei-Fei Li, et. al.: "Convolutional Neural Networks for Visual Recognition"
http://cs231n.stanford.edu/
It has very rich materials available for free online: notes, syllabus and of course video lectures.
If you are impatient and interested in image recognition, directly jump into Module 2: Convolutional Neural Networks.
Prerequisite would be a basic knowledge of Python.

Re: Getting Started with Deep Science

denys.marushchak@...
 

Great start is a Stanford course by Fei-Fei Li, et. al.: "Convolutional Neural Networks for Visual recognition"
http://cs231n.stanford.edu/
Very rich materials including syllabus and video lectures are posted for free online.
Of course you need to have basics of Python to start coding.

Re: Getting Started with Deep Science

tuhinm@...
 

Following specialization is a very good starting point for Deep learning. Andrew Ng is one of the best in teaching ML/DL in Mooc courses.

https://www.coursera.org/specializations/deep-learning

membership activation

sweksha jha
 

Hello,

I want to be a part of this awesome group.


Regards
swechha jha

Re: membership activation

NAT
 

Welcome to the group, 

Get more details about the Acumos from links below

1. Welcome to Acumos Documentation!
 
2. Acumos Wiki

Thx

Re: membership activation

er.sawant@...
 


Regards
Vikas Sawant
9911027368

On Mon, Apr 30, 2018 at 8:44 PM, <natarajan.subramanian@...> wrote:
Welcome to the group, 

Get more details about the Acumos from links below

1. Welcome to Acumos Documentation!
 
2. Acumos Wiki

Thx


What is the Difference between Machine Learning and Deep Learning?

ram.techblog@...
 

Hi All,

As i am new to this field, i wanted to build concetually and technically better as this field is slowly maturing and i would do tha same.

So First thing,  What is the Difference between Machine Learning and Deep Learning.?

Regards
Ram

Re: What is the Difference between Machine Learning and Deep Learning?

Donald Liu
 

Deep learning is machine learning or you can consider deep learning as a subset of machine learning.

Cheers,
Donald

On 11 Jul 2018, at 03:19, ram.techblog@... wrote:

Hi All,

As i am new to this field, i wanted to build concetually and technically better as this field is slowly maturing and i would do tha same.

So First thing,  What is the Difference between Machine Learning and Deep Learning.?

Regards
Ram

LF DL Foundation: Update and ONNX Project Presentation Tomorrow, 8/2, 9:00 am ET

Scott Nicholas
 

To the LF Deep Learning Foundation community (via the main@ mailing list) --

 

This is a quick message to give you an update on the LF Deep Learning Foundation and invite you to a presentation by members of the ONNX Project tomorrow morning, 9:00 am ET, August 2.


The work of LF DL is well under way, and we have a number of exciting announcements planned for the community in the coming days and weeks.  With respect to our first project, the Acumos AI Project (an AI workflow and model discovery platform) – code has been publicly available for several months, and work on the next release (November 2018) continues.  Sub-committees have been established, and we are now hosting 15-20 Acumos project meetings per month. If you are interested in contributing, or just want to get a feel for the project’s progress, I encourage you to visit wiki.acumos.org and look through the TSC (technical steering committee) pages.

Within LF DL, the committee responsible for coordination and communication with LF DL projects is the Technical Advisory Council, or TAC.  The TAC meets every two weeks, and our next meeting is tomorrow. The TAC is currently conducting a review of various open source formats for AI models, and we are very pleased to have guest presenters from Microsoft’s development team focused on the ONNX (Open Neural Network Exchange) Project presenting to us at tomorrow’s meeting. If you are interested in AI model formats, I encourage you to attend tomorrow’s call. For those of you that cannot make the meeting, we are planning to record the presentation.

Thank you, and please reach out with any questions. Dial-in instructions for tomorrow’s TAC meeting and ONNX presentation follows. Regards,

-- Scott Nicholas, Sr. Director of Strategic Programs, The Linux Foundation

-------

ONNX Project Presentation Details at the LF DL Foundation TAC Meeting:

https://zoom.us/j/113165889


Join from PC, Mac, Linux, iOS or Android: https://zoom.us/j/113165889

Or iPhone one-tap :

US: +16699006833,,113165889#  or +16465588656,,113165889#

Or Telephone:

Dial(for higher quality, dial a number based on your current location):

    US: +1 669 900 6833  or +1 646 558 8656 or +1 877 369 0926 (Toll Free) or +1 855 880 1246 (Toll Free)

Meeting ID: 113 165 889

International numbers available: https://zoom.us/u/bBVm470AJ




--
Scott A. Nicholas
Sr. Director of Strategic Programs, The Linux Foundation
Office: 617.564.3556     Cell: 617.645.3616     Skype: scott.sn.nicholas

Re: LF DL Foundation: Update and ONNX Project Presentation Tomorrow, 8/2, 9:00 am ET

Santiago Frias
 

Dear Scott. Nice to read you now. I can't assist to presentation.

If you record this session, please give me the link, or update at
wiki. Stable AI model formats were crucial to develop a correct cyclic
upshot to problems on real life.

Regards.

Santiago Frias.-



2018-08-01 22:41 GMT+02:00, Scott Nicholas <snicholas@...>:

*To the LF Deep Learning Foundation community (via the main@ mailing list)
-- *


*This is a quick message to give you an update on the LF Deep Learning
Foundation and invite you to a presentation by members of the ONNX Project
tomorrow morning, 9:00 am ET, August 2.The work of LF DL is well under way,
and we have a number of exciting announcements planned for the community in
the coming days and weeks. With respect to our first project, the Acumos
AI Project (an AI workflow and model discovery platform) – code has been
publicly available for several months, and work on the next release
(November 2018) continues. Sub-committees have been established, and we
are now hosting 15-20 Acumos project meetings per month. If you are
interested in contributing, or just want to get a feel for the project’s
progress, I encourage you to visit wiki.acumos.org <http://wiki.acumos.org>
and look through the TSC (technical steering committee) pages.*



* Within LF DL, the committee responsible for coordination and
communication with LF DL projects is the Technical Advisory Council, or
TAC. The TAC meets every two weeks, and our next meeting is tomorrow. The
TAC is currently conducting a review of various open source formats for AI
models, and we are very pleased to have guest presenters from Microsoft’s
development team focused on the ONNX (Open Neural Network Exchange) Project
presenting to us at tomorrow’s meeting. If you are interested in AI model
formats, I encourage you to attend tomorrow’s call. For those of you that
cannot make the meeting, we are planning to record the presentation. Thank
you, and please reach out with any questions. Dial-in instructions for
tomorrow’s TAC meeting and ONNX presentation follows. Regards, -- Scott
Nicholas, Sr. Director of Strategic Programs, The Linux
Foundation-------ONNX Project Presentation Details at the LF DL Foundation
TAC Meeting: https://zoom.us/j/113165889 <https://zoom.us/j/113165889>Join
from PC, Mac, Linux, iOS or Android: https://zoom.us/j/113165889
<https://zoom.us/j/113165889> Or iPhone one-tap : US:
+16699006833,,113165889# or +16465588656,,113165889#Or Telephone: Dial(for
higher quality, dial a number based on your current location): US: +1
669 900 6833 or +1 646 558 8656 or +1 877 369 0926 (Toll Free) or +1 855
880 1246 (Toll Free) Meeting ID: 113 165 889 International numbers
available: https://zoom.us/u/bBVm470AJ <https://zoom.us/u/bBVm470AJ>*

--
Scott A. Nicholas
Sr. Director of Strategic Programs, The Linux Foundation
Office: 617.564.3556 Cell: 617.645.3616 Skype: scott.sn.nicholas



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LF Deep Learning Foundation -- Announcing New Members // Recording of the ONNX Presentation from Last Week

Scott Nicholas
 

To the LF Deep Learning Foundation mailing list --

Earlier today we were very pleased to announce that five new members have joined the LF Deep Learning Foundation: Ciena, DiDi, Intel, Orange and Red Hat.  You can see the full press release here: https://www.linuxfoundation.org/press-release/2018/08/lf-deep-learning-foundation-advances-open-source-artificial-intelligence-with-major-membership-growth/.

I also wanted to again thank our guest presenters from Microsoft for their presentation on the ONNX Project at our technical advisory council meeting last Thursday. If you did not have an opportunity to join us for the presentation, a recording can be found here: https://zoom.us/recording/play/SuzTGl3v9r3qax87k2VRqYvsr4q22o4rxumXrBgWhcsH5UzyLrs6IBMCdCOiado4?continueMode=true.  

Thank you for your interest in the LF Deep Learning Foundation and its projects. If you have any questions, please reach out to us. Thank you,
- Scott
-- 
Scott A. Nicholas
Sr. Director of Strategic Programs, The Linux Foundation
Office: 617.564.3556     Cell: 617.645.3616     Skype: scott.sn.nicholas

Re: LF Deep Learning Foundation -- Announcing New Members // Recording of the ONNX Presentation from Last Week

Santiago Frias
 

Thanks Scott, from Tarragona (Spain)
:-)

2018-08-09 3:12 GMT+02:00, Scott Nicholas <snicholas@...>:

To the LF Deep Learning Foundation mailing list --

Earlier today we were very pleased to announce that five new members have
joined the LF Deep Learning Foundation: Ciena, DiDi, Intel, Orange and Red
Hat. You can see the full press release here:
https://www.linuxfoundation.org/press-release/2018/08/lf-deep-learning-foundation-advances-open-source-artificial-intelligence-with-major-membership-growth/
.

I also wanted to again thank our guest presenters from Microsoft for their
presentation on the ONNX Project at our technical advisory council meeting
last Thursday. If you did not have an opportunity to join us for the
presentation, a recording can be found here:
https://zoom.us/recording/play/SuzTGl3v9r3qax87k2VRqYvsr4q22o4rxumXrBgWhcsH5UzyLrs6IBMCdCOiado4?continueMode=true
.

Thank you for your interest in the LF Deep Learning Foundation and its
projects. If you have any questions, please reach out to us. Thank you,
- Scott
--
Scott A. Nicholas
Sr. Director of Strategic Programs, The Linux Foundation
Office: 617.564.3556 Cell: 617.645.3616 Skype: scott.sn.nicholas



--
/////
(o o)
+---------oOO---(_)----------------\
| @sfrias >
+------------------oOO-------------/
| | | |
ooO Ooo
Wherever possible, use me this way of communication. It allows me to
better manage my tasks with minimal interruptions.
Do not print if not necessary. Protect the Environment.This message is
intended exclusively for its addressee and may contain information
that is CONFIDENTIAL and protected by professional privilege. If you
are not the intended recipient you are hereby notified that any
dissemination, copy or disclosure of this communication is strictly
prohibited by law. If this message has been received in error, please
immediately notify us via e-mail and delete it.

LF Deep Learning Foundation: TAC Presentation on PFA and PMML Formats Tomorrow

Scott Nicholas
 

Dear LF DL community (via the main LF DL mailing list) --

As you know, the Technical Advisory Council is currently exploring model interchange formats, with a presentation from ONNX Project developers at our August 2 meeting. Tomorrow we will have guest presenters from IBM to walk us through the PFA and PMML formats.

The TAC calls are open to the public, and if you are interested in learning about PFA and PMML, we hope you can join us.

Thank you, and I have copied the meeting details below for your convenience,
- Scott

Join from PC, Mac, Linux, iOS or Android: https://zoom.us/j/113165889 Or iPhone one-tap : US: +16699006833,,113165889# or +16465588656,,113165889# Or Telephone: Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 558 8656 or +1 877 369 0926 (Toll Free) or +1 855 880 1246 (Toll Free) Meeting ID: 113 165 889 International numbers available: https://zoom.us/u/bBVm470AJ

--
Scott A. Nicholas
Sr. Director of Strategic Programs, The Linux Foundation
Office: 617.564.3556     Cell: 617.645.3616     Skype: scott.sn.nicholas

LF Deep Learning Foundation: PMML/PFA presentations last week / recording available

Scott Nicholas
 

To the LF DL Foundation community (via main mailing list) --

We would like to again thank Svetlana Levitan and Nick Pentreath of IBM for their presentations to the Technical Advisory Council last week on PMML and PFA, respectively. A recording of the TAC meeting and these presentations has now been posted on the TAC wiki page which can be found here (login to the LF DL mailing list required):  https://lists.deeplearningfoundation.org/g/tac-general/wiki/Recordings-of-TAC-Meetings.

Thank you,
- Scott 

--
Scott A. Nicholas
Sr. Director of Strategic Programs, The Linux Foundation
Office: 617.564.3556     Cell: 617.645.3616     Skype: scott.sn.nicholas

Re: LF Deep Learning Foundation: TAC Presentation on PFA and PMML Formats Tomorrow

Ofer Hermoni <ofer.hermoni@...>
 

The meetings run on every other Thursday.

The meeting tomorrow starts at 9am EST.

 

Best,

 

Ofer

 

From: main@... <main@...> On Behalf Of Scott Nicholas
Sent: Wednesday, August 15, 2018 16:43
To: main@...
Subject: [deeplearningfoundation] LF Deep Learning Foundation: TAC Presentation on PFA and PMML Formats Tomorrow

 

Dear LF DL community (via the main LF DL mailing list) --

 

As you know, the Technical Advisory Council is currently exploring model interchange formats, with a presentation from ONNX Project developers at our August 2 meeting. Tomorrow we will have guest presenters from IBM to walk us through the PFA and PMML formats.

 

The TAC calls are open to the public, and if you are interested in learning about PFA and PMML, we hope you can join us.

 

Thank you, and I have copied the meeting details below for your convenience,

- Scott

 

Join from PC, Mac, Linux, iOS or Android: https://zoom.us/j/113165889 Or iPhone one-tap : US: +16699006833,,113165889# or +16465588656,,113165889# Or Telephone: Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 558 8656 or +1 877 369 0926 (Toll Free) or +1 855 880 1246 (Toll Free) Meeting ID: 113 165 889 International numbers available: https://zoom.us/u/bBVm470AJ

 

--

Scott A. Nicholas

Sr. Director of Strategic Programs, The Linux Foundation

Office: 617.564.3556     Cell: 617.645.3616     Skype: scott.sn.nicholas

“Amdocs’ email platform is based on a third-party, worldwide, cloud-based system. Any emails sent to Amdocs will be processed and stored using such system and are accessible by third party providers of such system on a limited basis. Your sending of emails to Amdocs evidences your consent to the use of such system and such processing, storing and access”.

Re: LF Deep Learning Foundation: TAC Presentation on PFA and PMML Formats Tomorrow

Susan Malaika
 

Has the recording of the PFA PMML presentation been posted?