웨비나
reVISION Seminar Part 1: Machine Learning with Xilinx
In this web seminar, we will discuss the implementation of machine learning, which has recently garnered significant attention across all industrial sectors.
We will also explain the key characteristics of the Xilinx Zynq SoC device and why these features are well-suited for machine learning inference implementation.
Specifically, we will cover performance comparisons between Zynq SoC and GPUs, brief explanations of inference and training, inference implementation using integer types, and structural advantages provided by on-chip memory.
Next, we will explain the revision stack released by Xilinx this year to support OpenCV and DNN. We will also describe the design flow for implementing networks configured in the Caffe framework on the Zynq SoC using the revision stack. Additionally, we will discuss the performance of several CNNs using revision.
Finally, we will explain examples where embedded vision and DNN are combined using revision.
We hope you will attend this webinar despite your busy schedule and share valuable information.
Thank you.
We will also explain the key characteristics of the Xilinx Zynq SoC device and why these features are well-suited for machine learning inference implementation.
Specifically, we will cover performance comparisons between Zynq SoC and GPUs, brief explanations of inference and training, inference implementation using integer types, and structural advantages provided by on-chip memory.
Next, we will explain the revision stack released by Xilinx this year to support OpenCV and DNN. We will also describe the design flow for implementing networks configured in the Caffe framework on the Zynq SoC using the revision stack. Additionally, we will discuss the performance of several CNNs using revision.
Finally, we will explain examples where embedded vision and DNN are combined using revision.
We hope you will attend this webinar despite your busy schedule and share valuable information.
Thank you.
댓글
- 76 Comments
- 변*환 (2017-11-21 오전 11:38:24)
- 세미나 잘 시청했습니다...
- 채*기 (2017-10-09 오전 8:27:56)
- 특별한 세미나 기회를 주셔서 감사 합니다.
- 최*휴 (2017-09-27 오후 4:05:11)
- 기대합니다.
- 심*선 (2017-09-27 오후 1:17:04)
- 일정때문에 이제서야 복습했네요~~ 다음에도 알찬강의 부탁드립니다~^^
- 심*선 (2017-09-27 오후 1:16:29)
- 유익한 강의였습니다~~
- 이*근 (2017-09-26 오후 5:41:36)
- 어렵지만 알찬 강의네요
- 김*환 (2017-09-26 오전 10:40:05)
- 머신런닝의 구현 세미나 기대합니다
- 김*주 (2017-09-26 오전 10:34:46)
- 지금 듣고 있는데 유익한 강의네요!
- 서*진 (2017-09-26 오전 10:20:32)
- 이제곧시작이군요~~
- 이*학 (2017-09-26 오전 10:18:02)
- 알찬 세미나 기대합니다.