Ryunosuke Murakami - Master
をテンプレートにして作成
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開始行:
CENTER:COLOR(green){SIZE(20){[[NASH: Neuro-inspired Archi...
----
CENTER:SIZE(40){COLOR(green){Animal Recognition and Ident...
----
**COLOR(red){Research Schedule of 2019 - Please update it...
*** Step 1: Complete Soft implementation in Python (~3/17...
- Do design space exploration(DSE) (Target accuracy is ov...
-- DSE on Layer number of Fully Connection layer.
-- DSE on bit precision.
--- Current one is the 32-bit floating point -> 16 bit fi...
*** Step 2: Improve network for better accuracy (~3/17) [...
- Apply some tuning techniques
-- Collect more original data
-- Data augmentation
-- Fine Tuning
-- Dropout (Regulation for avoiding overfitting.)
*** Step 3: Try re-implementation in C language. (3/26~4/...
- 32-bit floating point precision.
*** Step 4: Apply High-Level Synthesis for FPGA implement...
- Apply HLS pragma for better execution ability in FPGA.
*** Always: Write paper for summarizing according to my p...
- After step 2, and 4.
----
* Research_2019 [#z4a64fda]
** RPS [#hd6ffe4d]
-- 2019/03/15 [[slides>https://1drv.ms/b/s!AtEWHTZAQkRenQ...
-- 2019/05/08 [[slides>https://1drv.ms/p/s!AtEWHTZAQkRenS...
** RPR [#z8520ba9]
* Research_2018 [#qcdb333d]
** RPS [#e998a227]
-- 2017/05/24: [[slides>https://1drv.ms/p/s!AtEWHTZAQkRei...
-- 2017/07/5: [[slides>https://1drv.ms/b/s!AtEWHTZAQkRei2...
-- 2017/09/06:[[slide>https://1drv.ms/p/s!AtEWHTZAQkRekFn...
-- 2017/10/10:[[slide>https://1drv.ms/p/s!AtEWHTZAQkReknp...
-- 2018/02/10:[[slide>https://1drv.ms/p/s!AtEWHTZAQkRelS8...
** RPR [#hca6bb5b]
-- 2017/04/12: [[slide.pptx>https://1drv.ms/p/s!AtEWHTZAQ...
-- 2017/06/06: [[slide>https://1drv.ms/p/s!AtEWHTZAQkRein...
*Research plan seminar [#af991ecf]
--2017/07/31: [[slide>https://1drv.ms/p/s!AtEWHTZAQkRejBy...
*CFS [#g10d098f]
--2017/08/25: [[slide>https://1drv.ms/p/s!AtEWHTZAQkRekDU...
--2017/09/06: [[slide>https://1drv.ms/p/s!AtEWHTZAQkRekGt...
----
*Background and Motivation [#x5f82436]
Deep Neural Networks are proved machine elarning methods ...
CENTER:&ref(fms1.jpg,,50%);
CENTER:&ref(cnn.jpg,,50%);
*Goal and Expected output [#x13225ae]
The goal of this research is to implement a Pig Face Reco...
*References [#v1e9068a]
-Ref1. [[?ǥ????ץ顼?˥?>https://drive.google.com/file/d/0B2...
-R2. [[???߹??ߥ˥塼???ͥåȥ???λ??Ȥ?>http://postd.cc/how-do-c...
-R3 [[Cat Face Recogniiton with CNN>https://drive.google....
-R4. [[???ؾ??߹??ߥ˥塼???ͥåȥ???ˤ???????ħ??Ф?ž?ܳؽ? (CNN Sur...
-R5. [[Visualizing and Understanding Convolutional Networ...
-R6.[[Video: Convolution Neural Network CNN Implementatio...
--Aria 10 (Intel/Altera) https://www.altera.com/products/...
終了行:
CENTER:COLOR(green){SIZE(20){[[NASH: Neuro-inspired Archi...
----
CENTER:SIZE(40){COLOR(green){Animal Recognition and Ident...
----
**COLOR(red){Research Schedule of 2019 - Please update it...
*** Step 1: Complete Soft implementation in Python (~3/17...
- Do design space exploration(DSE) (Target accuracy is ov...
-- DSE on Layer number of Fully Connection layer.
-- DSE on bit precision.
--- Current one is the 32-bit floating point -> 16 bit fi...
*** Step 2: Improve network for better accuracy (~3/17) [...
- Apply some tuning techniques
-- Collect more original data
-- Data augmentation
-- Fine Tuning
-- Dropout (Regulation for avoiding overfitting.)
*** Step 3: Try re-implementation in C language. (3/26~4/...
- 32-bit floating point precision.
*** Step 4: Apply High-Level Synthesis for FPGA implement...
- Apply HLS pragma for better execution ability in FPGA.
*** Always: Write paper for summarizing according to my p...
- After step 2, and 4.
----
* Research_2019 [#z4a64fda]
** RPS [#hd6ffe4d]
-- 2019/03/15 [[slides>https://1drv.ms/b/s!AtEWHTZAQkRenQ...
-- 2019/05/08 [[slides>https://1drv.ms/p/s!AtEWHTZAQkRenS...
** RPR [#z8520ba9]
* Research_2018 [#qcdb333d]
** RPS [#e998a227]
-- 2017/05/24: [[slides>https://1drv.ms/p/s!AtEWHTZAQkRei...
-- 2017/07/5: [[slides>https://1drv.ms/b/s!AtEWHTZAQkRei2...
-- 2017/09/06:[[slide>https://1drv.ms/p/s!AtEWHTZAQkRekFn...
-- 2017/10/10:[[slide>https://1drv.ms/p/s!AtEWHTZAQkReknp...
-- 2018/02/10:[[slide>https://1drv.ms/p/s!AtEWHTZAQkRelS8...
** RPR [#hca6bb5b]
-- 2017/04/12: [[slide.pptx>https://1drv.ms/p/s!AtEWHTZAQ...
-- 2017/06/06: [[slide>https://1drv.ms/p/s!AtEWHTZAQkRein...
*Research plan seminar [#af991ecf]
--2017/07/31: [[slide>https://1drv.ms/p/s!AtEWHTZAQkRejBy...
*CFS [#g10d098f]
--2017/08/25: [[slide>https://1drv.ms/p/s!AtEWHTZAQkRekDU...
--2017/09/06: [[slide>https://1drv.ms/p/s!AtEWHTZAQkRekGt...
----
*Background and Motivation [#x5f82436]
Deep Neural Networks are proved machine elarning methods ...
CENTER:&ref(fms1.jpg,,50%);
CENTER:&ref(cnn.jpg,,50%);
*Goal and Expected output [#x13225ae]
The goal of this research is to implement a Pig Face Reco...
*References [#v1e9068a]
-Ref1. [[?ǥ????ץ顼?˥?>https://drive.google.com/file/d/0B2...
-R2. [[???߹??ߥ˥塼???ͥåȥ???λ??Ȥ?>http://postd.cc/how-do-c...
-R3 [[Cat Face Recogniiton with CNN>https://drive.google....
-R4. [[???ؾ??߹??ߥ˥塼???ͥåȥ???ˤ???????ħ??Ф?ž?ܳؽ? (CNN Sur...
-R5. [[Visualizing and Understanding Convolutional Networ...
-R6.[[Video: Convolution Neural Network CNN Implementatio...
--Aria 10 (Intel/Altera) https://www.altera.com/products/...
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