CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15808904.pdf · Erick Cardenas...

div class=trans-pagebuttonPage 1button div class=trans-image amp-img class=trans-thumb alt=Page 1: CS230 Deep Learningcs230stanfordeduprojects_winter_2019reports15808904pdf · Erick Cardenas implemented the Convolutional Baseline model setup and managed the AWS instances src=https:reader033fdocumentsinreader033viewer20220527225f0c16e97e708231d433b081html5thumbnails1jpg width=142 height=106 layout=responsive amp-img divdivdiv class=trans-pagebuttonPage 2button div class=trans-image amp-img class=trans-thumb alt=Page 2: CS230 Deep Learningcs230stanfordeduprojects_winter_2019reports15808904pdf · Erick Cardenas implemented the Convolutional Baseline model setup and managed the AWS instances src=https:reader033fdocumentsinreader033viewer20220527225f0c16e97e708231d433b081html5thumbnails2jpg width=142 height=106 layout=responsive amp-img divdivdiv class=trans-pagebuttonPage 3button div class=trans-image amp-img class=trans-thumb alt=Page 3: CS230 Deep Learningcs230stanfordeduprojects_winter_2019reports15808904pdf · Erick Cardenas implemented the Convolutional Baseline model setup and managed the AWS instances src=https:reader033fdocumentsinreader033viewer20220527225f0c16e97e708231d433b081html5thumbnails3jpg width=142 height=106 layout=responsive amp-img divdivdiv class=trans-pagebuttonPage 4button div class=trans-image amp-img class=trans-thumb alt=Page 4: CS230 Deep Learningcs230stanfordeduprojects_winter_2019reports15808904pdf · Erick Cardenas implemented the Convolutional Baseline model setup and managed the AWS instances src=https:reader033fdocumentsinreader033viewer20220527225f0c16e97e708231d433b081html5thumbnails4jpg width=142 height=106 layout=responsive amp-img divdivdiv class=trans-pagebuttonPage 5button div class=trans-image amp-img class=trans-thumb alt=Page 5: CS230 Deep Learningcs230stanfordeduprojects_winter_2019reports15808904pdf · 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...

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Transcript of CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15808904.pdf · Erick Cardenas...

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15813330.pdf · According to the Federal Statistics Office, 2013, the number of newly opened insolvency proceedings

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15806104.pdf · Description 3 inputs, 1 hidden layer, 100 units 3 inputs, 1 hidden layer, 100 units 4 inputs, 1

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15813172.pdf80/10/10 train, dev, and test splits based on recom- Fig. 1) The Starry Night by Vincent van Gogh [1]

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/15811993.pdfChallenge[91 on Kaggle, which presents a dataset of user submitted photos of restaurants and 9 possible

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15806293.pdf · Most sentiment analysis studies in the finance and accounting literature use ... Apple Inc. : ]

CS230: Lecture 9 Deep Reinforcement Learningcs230.stanford.edu/spring2020/lecture9.pdfCS230: Lecture 9 Deep Reinforcement Learning Kian Katanforoosh Kian Katanforoosh I. Motivation

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15809694.pdfexisting previous piece of artwork in a personalized manner. In our method, we alter an existing piece

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15812441.pdfStackGAN managed to generate more realistic, higher resolution images by splitting the problem into two

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15782825.pdf · Generative Adversarial Networks (GANs) [Goodfellow et al, 2014; Isola et al, 2017] and Variational

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/15812583.pdfwith 1,716 car models. The full car images are labeled with bounding boxes and viewpoints. Each car model

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_winter_2019/reports/15813120.pdf · animated images and applied to images earlier in the creative process. Style images from animated

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15813327.pdf0.024 0.022 0.020 Train 0.029 0.036 0.051 Test 0.048 0.026 0.028 Train 81.19% 87.55% 74.60% Test 85.82%

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15811843.pdfincluding flipping, cropping, rotating, and etc. MOM Figure 1. Sample image of Bart Simpson, Homer Simpson

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15342206.pdfNicole Kidman True Class Michael Jordan Michelle Obama Barack Obama Conclusion/Future Work 88 98 Identifying

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15812659.pdf · 2019. 4. 4. · mean lower IOU for the YOLO model in many cases). We have pre-processed these images

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15766721.pdf · and representations of the results), media monitoring, newsletters, social media marketing, question

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15811350.pdf · Monet painting to photo task. We gather Monet paintings both from the internet and from Wikiart.org.