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Page 1: CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8289721.pdf · Solar energy has become a vital part of the energy infrastructure and ... copy and crop max pool
Page 2: CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8289721.pdf · Solar energy has become a vital part of the energy infrastructure and ... copy and crop max pool
Page 3: CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8289721.pdf · Solar energy has become a vital part of the energy infrastructure and ... copy and crop max pool
Page 4: CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8289721.pdf · Solar energy has become a vital part of the energy infrastructure and ... copy and crop max pool
Page 5: CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8289721.pdf · Solar energy has become a vital part of the energy infrastructure and ... copy and crop max pool
Page 6: CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8289721.pdf · Solar energy has become a vital part of the energy infrastructure and ... copy and crop max pool

CS230: Lecture 9 Deep Reinforcement Learningcs230.stanford.edu/winter2020/lecture9.pdf · 2020-03-03 · Kian Katanforoosh I. Motivation Human Level Control through Deep Reinforcement

CS230: Lecture 9 Deep Reinforcement Learningcs230.stanford.edu/winter2020/lecture9.pdf · 2020-03-03 · Kian Katanforoosh I. Motivation Human Level Control through Deep Reinforcement

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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

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8290890.pdfFigure 1: Next Pitch Type Prediction Problem Unlike other sports, a baseball game can be described well

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8290890.pdfFigure 1: Next Pitch Type Prediction Problem Unlike other sports, a baseball game can be described well

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8290433.pdf · Stanford University {zhaozhuo, zhiyuan8, edu Abstract Damage of building is an essential indicator

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8290433.pdf · Stanford University {zhaozhuo, zhiyuan8, edu Abstract Damage of building is an essential indicator

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CS230: Lecture 9 Deep Reinforcement Learningcs230.stanford.edu/spring2019/cs230_lecture9.pdf · IV. Deep Q-Learning application: Breakout (Atari) Goal: play breakout, i.e. destroy

CS230: Lecture 9 Deep Reinforcement Learningcs230.stanford.edu/spring2019/cs230_lecture9.pdf · IV. Deep Q-Learning application: Breakout (Atari) Goal: play breakout, i.e. destroy

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8271110.pdf · 2018. 9. 28. · reconstruction using e.g. template fitting. None of these methods are fully satisfactory

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8271110.pdf · 2018. 9. 28. · reconstruction using e.g. template fitting. None of these methods are fully satisfactory

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CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15808904.pdf · Erick Cardenas implemented the Convolutional Baseline model, setup and managed the AWS instances

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15808904.pdf · Erick Cardenas implemented the Convolutional Baseline model, setup and managed the AWS instances

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CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15813380.pdf · CS230 Final Project: Milestone Topic: Transfer Learning Ajay Sohmshetty (collaboration with Amir

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15813380.pdf · CS230 Final Project: Milestone Topic: Transfer Learning Ajay Sohmshetty (collaboration with Amir

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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

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cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8284387.pdf · 2018-09-28 · these phrases are consistent with the English language, the output does not represent

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8284387.pdf · 2018-09-28 · these phrases are consistent with the English language, the output does not represent

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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

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Stanford Universityweb.stanford.edu/class/cs230/projects_spring_2018/... · 2018-09-28 · News Article Prediction Using Deep Learning Research conducted in CS230: Deep Learning at

Stanford Universityweb.stanford.edu/class/cs230/projects_spring_2018/... · 2018-09-28 · News Article Prediction Using Deep Learning Research conducted in CS230: Deep Learning at

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/posters/8285188.pdfExplore and develop a deep machine learning model that predicts the future price of digital asset such

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/posters/8285188.pdfExplore and develop a deep machine learning model that predicts the future price of digital asset such

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2019/reports/18678885.pdfis a treasure trove of information, including that related to virality, user sentiment, networks, and

CS230 Deep Learningcs230.stanford.edu/projects_spring_2019/reports/18678885.pdfis a treasure trove of information, including that related to virality, user sentiment, networks, and

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cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8290434.pdf · A Content-Based Image Retrieval System (CBIR) for eCommerce Purposes Using Deep Neural Networks Lee

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8290434.pdf · A Content-Based Image Retrieval System (CBIR) for eCommerce Purposes Using Deep Neural Networks Lee

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cs230.stanford.edu › projects_spring_2018 › reports › 8291236… · Pillow, pytest, h5py, sklearn, scipy, scikit-image, scikit-learn, keras [7, 10, 5] 5 Results, Metrics, and

cs230.stanford.edu › projects_spring_2018 › reports › 8291236… · Pillow, pytest, h5py, sklearn, scipy, scikit-image, scikit-learn, keras [7, 10, 5] 5 Results, Metrics, and

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8285485.pdf · For our project we use the following data set the "Coupon Purchase Prediction" challenge from the

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8285485.pdf · For our project we use the following data set the "Coupon Purchase Prediction" challenge from the

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cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8288946.pdf · jazz piano piece). It was converted into a text file, which contains its noteOn, noteOff, control

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8288946.pdf · jazz piano piece). It was converted into a text file, which contains its noteOn, noteOff, control

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cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8288669.pdf · Hiro Tien (Kai Ping) Stanford Graduate School of Business Stanford School of Earth, Energy & Environmental

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8288669.pdf · Hiro Tien (Kai Ping) Stanford Graduate School of Business Stanford School of Earth, Energy & Environmental

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/posters/8284325.pdf · 2018. 9. 28. · Aditya Chander ( ac888@stanford.edu ), Marina Cottrell ( mborsodi@stanford.edu ),

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/posters/8284325.pdf · 2018. 9. 28. · Aditya Chander ( [email protected] ), Marina Cottrell ( [email protected] ),

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291200.pdf · 2018. 9. 28. · Given the amount of data we have, we used an 80/10/10 split, with 80 percent of

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291200.pdf · 2018. 9. 28. · Given the amount of data we have, we used an 80/10/10 split, with 80 percent of

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CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12447633.pdfParas, Ledyba, Spinarak, Venonat, Sil- coon Lugia, Mesprit, Mew, Victini, Celebi, Cresselia, Volcanion,

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12447633.pdfParas, Ledyba, Spinarak, Venonat, Sil- coon Lugia, Mesprit, Mew, Victini, Celebi, Cresselia, Volcanion,

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cs230.stanford.educs230.stanford.edu/projects_spring_2018/posters/8285130.pdf · Image Restoration of Noisy and Low-Quality Retinal Images Katherine Sytwul, Fariah Hayee2 Dept. of

cs230.stanford.educs230.stanford.edu/projects_spring_2018/posters/8285130.pdf · Image Restoration of Noisy and Low-Quality Retinal Images Katherine Sytwul, Fariah Hayee2 Dept. of

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cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8289547.pdf · MOOCs and online courses have notoriously high attrition [1]. One challenge is ... a student's performance

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8289547.pdf · MOOCs and online courses have notoriously high attrition [1]. One challenge is ... a student's performance

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CS230 Deep Learning › projects_spring_2018 › reports › 8291206.pdf · I used NLKT's [8] PUNK T Word Tokenizer to split the headlines into words. Examining the data manually,

CS230 Deep Learning › projects_spring_2018 › reports › 8291206.pdf · I used NLKT's [8] PUNK T Word Tokenizer to split the headlines into words. Examining the data manually,

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web.stanford.eduweb.stanford.edu/class/cs230/projects_spring_2018/... · 50 image as input, and generate a higher resolution 250 x 250 output image. 2. Related Work This project was

web.stanford.eduweb.stanford.edu/class/cs230/projects_spring_2018/... · 50 image as input, and generate a higher resolution 250 x 250 output image. 2. Related Work This project was

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2019/posters/18681176.pdfreviews, whether they are movie reviews, Amazon reviews, workplace reviews is a common occurrence in

CS230 Deep Learningcs230.stanford.edu/projects_spring_2019/posters/18681176.pdfreviews, whether they are movie reviews, Amazon reviews, workplace reviews is a common occurrence in

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8316972.pdf · deep learning based methodology to learn a similarity mea- sure between street and shop photos. 2

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8316972.pdf · deep learning based methodology to learn a similarity mea- sure between street and shop photos. 2

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cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8291220.pdf · Much of the published research on applying DL techniques in financial market applications is based

cs230.stanford.educs230.stanford.edu/projects_spring_2018/reports/8291220.pdf · Much of the published research on applying DL techniques in financial market applications is based

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CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8289231.pdf · high gesture classification accuracy can be achieved using a convolutional neural network trained

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8289231.pdf · high gesture classification accuracy can be achieved using a convolutional neural network trained

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