cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge...

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Page 1: cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge Distillation of Deep Neural Networks for Efficient Hardware Solutions Haitong Li
Page 2: cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge Distillation of Deep Neural Networks for Efficient Hardware Solutions Haitong Li
Page 3: cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge Distillation of Deep Neural Networks for Efficient Hardware Solutions Haitong Li
Page 4: cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge Distillation of Deep Neural Networks for Efficient Hardware Solutions Haitong Li
Page 5: cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge Distillation of Deep Neural Networks for Efficient Hardware Solutions Haitong Li
Page 6: cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge Distillation of Deep Neural Networks for Efficient Hardware Solutions Haitong Li

ANNUAL REPORT 2016 · Company on 13 July 2015 (“Haitong CBs”). Expenses Sales and marketing expenses for the Year were approximately RMB213,738,000 (2015: RMB198,621,000), representing

ANNUAL REPORT 2016 · Company on 13 July 2015 (“Haitong CBs”). Expenses Sales and marketing expenses for the Year were approximately RMB213,738,000 (2015: RMB198,621,000), representing

Triple Patterning Aware Detailed Placement With Constrained Pattern Assignment Haitong Tian, Yuelin Du, Hongbo Zhang, Zigang Xiao, Martin D.F. Wong.

Triple Patterning Aware Detailed Placement With Constrained Pattern Assignment Haitong Tian, Yuelin Du, Hongbo Zhang, Zigang Xiao, Martin D.F. Wong.

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6940460.pdf · also begun exploring deep unsupervised learning methods in the healthcare setting. One example includes

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6940460.pdf · also begun exploring deep unsupervised learning methods in the healthcare setting. One example includes

Deep Learningcs230.stanford.edu/files_winter_2018/projects/6912923.pdf · reinforcement learning is used to address resource allocation and management. B. Voice Voice connection IS

Deep Learningcs230.stanford.edu/files_winter_2018/projects/6912923.pdf · reinforcement learning is used to address resource allocation and management. B. Voice Voice connection IS

web.stanford.eduweb.stanford.edu/class/cs230/files_winter_2018/projects/6940402.pdf · have strong batteries, are usually powered wirelessly, and cannot heat up beyond a certain threshold.

web.stanford.eduweb.stanford.edu/class/cs230/files_winter_2018/projects/6940402.pdf · have strong batteries, are usually powered wirelessly, and cannot heat up beyond a certain threshold.

cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6908505.pdf · In this project, we build three deep learning models (DenseNet-121, DenseNet- LSTM and DenseNet-GRU)

cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6908505.pdf · In this project, we build three deep learning models (DenseNet-121, DenseNet- LSTM and DenseNet-GRU)

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6933119.pdf2 Methods: Quantum mechanics as an optimization problem Carleo [2017] outlines a theoretical formulation

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6933119.pdf2 Methods: Quantum mechanics as an optimization problem Carleo [2017] outlines a theoretical formulation

Tianjin Haitong Chemical Industrial Co., Ltd.imgusr.tradekey.com/images/uploadedimages/... · Tianjin Haitong Chemical Industrial Co.,Ltd Company Info Tianjin Haitong Chemical Industrial

Tianjin Haitong Chemical Industrial Co., Ltd.imgusr.tradekey.com/images/uploadedimages/... · Tianjin Haitong Chemical Industrial Co.,Ltd Company Info Tianjin Haitong Chemical Industrial

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8289614.pdfduration, or only textual features, such as project description and keywords. To our knowledge, we are

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8289614.pdfduration, or only textual features, such as project description and keywords. To our knowledge, we are

An Efficient Linear Time Triple Patterning Solver Haitong Tian Hongbo Zhang Zigang Xiao Martin D.F. Wong ASP-DAC’15.

An Efficient Linear Time Triple Patterning Solver Haitong Tian Hongbo Zhang Zigang Xiao Martin D.F. Wong ASP-DAC’15.

cs230.stanford.educs230.stanford.edu › projects_winter_2019 › posters › 15794817.pdf · on the signal of similar pixels2. Here we use the scikit-image fast-mode implementation

cs230.stanford.educs230.stanford.edu › projects_winter_2019 › posters › 15794817.pdf · on the signal of similar pixels2. Here we use the scikit-image fast-mode implementation

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18681514.pdfFinal part:8x8x2048 1001 Auxiliary Classifier Figure 5: Original InceptionV3 Neural Network Schema(17)

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18681514.pdfFinal part:8x8x2048 1001 Auxiliary Classifier Figure 5: Original InceptionV3 Neural Network Schema(17)

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6939740.pdf · Yelp review data, and report our generated sentences as being comparable to a traditional LSTM RNN.

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6939740.pdf · Yelp review data, and report our generated sentences as being comparable to a traditional LSTM RNN.

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6931955.pdfcurrent limitations and potential next steps in section 4. 2 Data We downloaded the entire AffectNet dataset

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6931955.pdfcurrent limitations and potential next steps in section 4. 2 Data We downloaded the entire AffectNet dataset

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15813002.pdf · global education equity (4). CS230: Deep Learning, Winter 2019, Stanford ... To evolve beyond our

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15813002.pdf · global education equity (4). CS230: Deep Learning, Winter 2019, Stanford ... To evolve beyond our

Haitong Internship Report

Haitong Internship Report

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6940506.pdf · OCR focused on historical transcription has been rarely applied on Arabic histor- ical manuscripts.

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6940506.pdf · OCR focused on historical transcription has been rarely applied on Arabic histor- ical manuscripts.

cs230.stanford.educs230.stanford.edu/projects_winter_2019/posters/15811897.pdfdeep reinforcement learning networks to play simple cooperative games. This project utilizes a simulated

cs230.stanford.educs230.stanford.edu/projects_winter_2019/posters/15811897.pdfdeep reinforcement learning networks to play simple cooperative games. This project utilizes a simulated

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8270111.pdf · With our efforts through this quarter, we have successfully built a speaker identification algorithm

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8270111.pdf · With our efforts through this quarter, we have successfully built a speaker identification algorithm

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18675538.pdfconvolutional neural networks. " Convolutional Neural Networks for Visual Recognition 2 (2016). [3] Sharma,

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18675538.pdfconvolutional neural networks. " Convolutional Neural Networks for Visual Recognition 2 (2016). [3] Sharma,