CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15812583.pdfwith 1,716 car...

6

Transcript of CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15812583.pdfwith 1,716 car...

Page 1: 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
Page 2: 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
Page 3: 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
Page 4: 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
Page 5: 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
Page 6: 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_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/15812441.pdfStackGAN managed to generate more realistic, higher resolution images by splitting the problem into two

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

Investor Presentation...3,989 3,546 2,290 STAŞ POAŞ BP OPET SECTOR 2014 2015 2016 1,716 1,505 1,024 672 507 447 AYTEMİZ POA OPET STAS BP AYTEMİZ TOTAL ...

Investor Presentation...3,989 3,546 2,290 STAŞ POAŞ BP OPET SECTOR 2014 2015 2016 1,716 1,505 1,024 672 507 447 AYTEMİZ POA OPET STAS BP AYTEMİZ TOTAL ...

Herefordshire Alcohol Needs Assessment · 2020. 1. 21. · 4 Dependent Drinkers and alcohol treatment There are an estimated 1,716 adults with an alcohol dependency, of which 1 in

Herefordshire Alcohol Needs Assessment · 2020. 1. 21. · 4 Dependent Drinkers and alcohol treatment There are an estimated 1,716 adults with an alcohol dependency, of which 1 in

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15813450.pdfInput (current flight) LSTM seq Dense (x5) Prediction Figure 2: LSTM + CNN Architecture Due to the class

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15813450.pdfInput (current flight) LSTM seq Dense (x5) Prediction Figure 2: LSTM + CNN Architecture Due to the class

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_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/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/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

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15773386.pdf · camera at any given position and orientation. A random sampling of camera positions is taken within

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15773386.pdf · camera at any given position and orientation. A random sampling of camera positions is taken within

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15802276.pdf · each artist. The resulting model attained good performance over the baseline, and provided subjectively

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15802276.pdf · each artist. The resulting model attained good performance over the baseline, and provided subjectively

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15813424.pdf · [1] Alexander Toshev and Christian Szegedy. Deeppose: Human pose estimation via deep neural networks.

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15813424.pdf · [1] Alexander Toshev and Christian Szegedy. Deeppose: Human pose estimation via deep neural networks.

CAR CAR CAR

CAR CAR CAR

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15782416.pdf · analysis of the models results can be found in the Discussion section. ... and a recognizing textual

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15782416.pdf · analysis of the models results can be found in the Discussion section. ... and a recognizing textual

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15813480.pdf · 2019-04-04 · Yog.ai: Anna Lai alai2@stanf ord.edu Deep Learning for Yoga Bhargav Reddy brkreddy@stanf

cs230.stanford.educs230.stanford.edu/projects_winter_2019/reports/15813480.pdf · 2019-04-04 · Yog.ai: Anna Lai alai2@stanf ord.edu Deep Learning for Yoga Bhargav Reddy brkreddy@stanf

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15813291.pdf · The draft version of the application was written to generate entire trainset/devset up in front,

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15813291.pdf · The draft version of the application was written to generate entire trainset/devset up in front,

VALLEY VIEW 843-1,716 ± BUSINESS CENTER 3871 S VALLEY … · Property Overview Executive Summary Valley View Business Center is located off of Valley View Blvd. and Flamin- ... Quick

VALLEY VIEW 843-1,716 ± BUSINESS CENTER 3871 S VALLEY … · Property Overview Executive Summary Valley View Business Center is located off of Valley View Blvd. and Flamin- ... Quick

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_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_winter_2019/reports/15813329.pdf · from a 2019 Kaggle Competition*. The latest model achieved 97.2% accuracy against the test set.

CS230 Deep Learningcs230.stanford.edu/projects_winter_2019/reports/15813329.pdf · from a 2019 Kaggle Competition*. The latest model achieved 97.2% accuracy against the test set.

Floor Plans - Howard Hanna...Floor Plans 1,716 Square Feet For interactive floor plans please visit . Floor Plans ... KITCHEN 13' x 136 CABINETS Entry Laundry REF PANTRY TWO-CAR GARAGE

Floor Plans - Howard Hanna...Floor Plans 1,716 Square Feet For interactive floor plans please visit . Floor Plans ... KITCHEN 13' x 136 CABINETS Entry Laundry REF PANTRY TWO-CAR GARAGE

RichWave Technology Corp. Investor Presentation · 400 800 1200 . 1600 . 2000 . 2400 . 2012 2013 2014 . 2015 . 2016 2017Q1-Q3 . 860 . 1,113 . 1,382 . 1,716 . 2,161 1,951 . 302 . 420

RichWave Technology Corp. Investor Presentation · 400 800 1200 . 1600 . 2000 . 2400 . 2012 2013 2014 . 2015 . 2016 2017Q1-Q3 . 860 . 1,113 . 1,382 . 1,716 . 2,161 1,951 . 302 . 420