CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12437786.pdf · ANET achieved 0.87...

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Transcript of CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12437786.pdf · ANET achieved 0.87...

Page 1: CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12437786.pdf · ANET achieved 0.87 recall rate across all test cases. CS230: Deep Learning, Fall 2018, Stanford University,
Page 2: CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12437786.pdf · ANET achieved 0.87 recall rate across all test cases. CS230: Deep Learning, Fall 2018, Stanford University,
Page 3: CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12437786.pdf · ANET achieved 0.87 recall rate across all test cases. CS230: Deep Learning, Fall 2018, Stanford University,
Page 4: CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12437786.pdf · ANET achieved 0.87 recall rate across all test cases. CS230: Deep Learning, Fall 2018, Stanford University,
Page 5: CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12437786.pdf · ANET achieved 0.87 recall rate across all test cases. CS230: Deep Learning, Fall 2018, Stanford University,
Page 6: CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12437786.pdf · ANET achieved 0.87 recall rate across all test cases. CS230: Deep Learning, Fall 2018, Stanford University,

cs230.stanford.edu › projects_fall_2018 › reports › ... · 2019-01-16 · 2 Related Work Many work has been ... From the DCGAN loss training curve in Fig.5, we can see that

cs230.stanford.edu › projects_fall_2018 › reports › ... · 2019-01-16 · 2 Related Work Many work has been ... From the DCGAN loss training curve in Fig.5, we can see that

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] ),

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8290634.pdf · alternative of rating food photos' attractiveness to Yelp's published approach that utilized EXIF

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8290634.pdf · alternative of rating food photos' attractiveness to Yelp's published approach that utilized EXIF

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15812470.pdf · upon them by pursuing deep learning techniques. Using techniques like LSTMs, RNNs, and highway networks,

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15812470.pdf · upon them by pursuing deep learning techniques. Using techniques like LSTMs, RNNs, and highway networks,

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12450134.pdf · Multi-object detection is the task of finding objects in an image or video frame, which consists of

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12450134.pdf · Multi-object detection is the task of finding objects in an image or video frame, which consists of

MathBot A Deep Learning based Elementary School Math …cs230.stanford.edu/projects_fall_2019/reports/26262150.pdfMathBot – A Deep Learning based Elementary School Math Word Problem

MathBot A Deep Learning based Elementary School Math …cs230.stanford.edu/projects_fall_2019/reports/26262150.pdfMathBot – A Deep Learning based Elementary School Math Word Problem

CS230 Deep Learningcs230.stanford.edu/projects_spring_2019/reports/18681615.pdfStanford University 1050 Arastradero Rd., Stanford, CA kkaganov [ at ] stanford.edu Abstract In order

CS230 Deep Learningcs230.stanford.edu/projects_spring_2019/reports/18681615.pdfStanford University 1050 Arastradero Rd., Stanford, CA kkaganov [ at ] stanford.edu Abstract In order

CS230: Lecture 3 · CS230: Lecture 3 The mathematics of deep learning Backpropagation, Initializations, Regularization Kian Katanforoosh

CS230: Lecture 3 · CS230: Lecture 3 The mathematics of deep learning Backpropagation, Initializations, Regularization Kian Katanforoosh

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12439806.pdfDefense of the Ancients (DOT A) 2 is a multiplayer online battle arena (MOBA) game developed by Valve Corporation.

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12439806.pdfDefense of the Ancients (DOT A) 2 is a multiplayer online battle arena (MOBA) game developed by Valve Corporation.

Midterm Review - CS230 Deep Learningcs230.stanford.edu/fall2018/midterm_review.pdf · Midterm Review CS230 Fall 2018. Broadcasting. Calculating Means How would you calculate the means

Midterm Review - CS230 Deep Learningcs230.stanford.edu/fall2018/midterm_review.pdf · Midterm Review CS230 Fall 2018. Broadcasting. Calculating Means How would you calculate the means

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,

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8290329.pdf · 2018-09-28 · Medical diagnostics with retinal images is an active area of research in the deep-

CS230 Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8290329.pdf · 2018-09-28 · Medical diagnostics with retinal images is an active area of research in the deep-

web.stanford.eduweb.stanford.edu/class/cs230/projects_spring_2018/... · Medical diagnostics with retinal images is an active area of research in the deep- learning community. Building

web.stanford.eduweb.stanford.edu/class/cs230/projects_spring_2018/... · Medical diagnostics with retinal images is an active area of research in the deep- learning community. Building

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

CS230 Deep Learning · Visual Question Answering (VQA) is an increasingly popular topic in deep learning research as it requires coordination of several artificial intelligence- ...

CS230 Deep Learning · Visual Question Answering (VQA) is an increasingly popular topic in deep learning research as it requires coordination of several artificial intelligence- ...

CS230 - 06

CS230 - 06

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.

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12449264.pdfadversarial network (GAN) based off of the SRGAN network developed by Ledig et. al [2]. We modified this

CS230 Deep Learningcs230.stanford.edu/projects_fall_2018/reports/12449264.pdfadversarial network (GAN) based off of the SRGAN network developed by Ledig et. al [2]. We modified this

CS230 : Computer Graphics

CS230 : Computer Graphics

CS230 Deep Learning

CS230 Deep Learning