stanford university › class › cs230 › files_winter_2018 › projects › 6938920.pdfnumber of...

5

Upload: others

Post on 30-Jun-2020

1 views

Category:

Documents

0 download

Report

Download

Embed Size (px):

TRANSCRIPT

Page 1: Stanford University › class › cs230 › files_winter_2018 › projects › 6938920.pdfnumber of camera angles). We then use a four-input CNN to output a k-hot vector representation

Page 2: Stanford University › class › cs230 › files_winter_2018 › projects › 6938920.pdfnumber of camera angles). We then use a four-input CNN to output a k-hot vector representation

Page 3: Stanford University › class › cs230 › files_winter_2018 › projects › 6938920.pdfnumber of camera angles). We then use a four-input CNN to output a k-hot vector representation

Page 4: Stanford University › class › cs230 › files_winter_2018 › projects › 6938920.pdfnumber of camera angles). We then use a four-input CNN to output a k-hot vector representation

Page 5: Stanford University › class › cs230 › files_winter_2018 › projects › 6938920.pdfnumber of camera angles). We then use a four-input CNN to output a k-hot vector representation

cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940373.pdfwords and set all other positions in the video equal to the one hot representation for no sign (inspired

PROGRAM 1 CITIZEN FSKM MAC 2013 23/3 - … €siti rabiah binti mahadi€ €cs230€ a4 65 €siti rokiah binti mahadi€ €cs230€ a3 66 €siti roslina binti roslim€ €cs230€

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: Lecture 9 Deep Reinforcement Learning · CS230: Lecture 9 Deep Reinforcement Learning Kian Katanforoosh Menti code: 80 24 08. Kian Katanforoosh, Andrew Ng, ... Today’s outline

CS230 : Computer Graphics › ... › Lecture6.pdf · CS230 : Computer Graphics Lecture 6: Viewing Transformations Tamar Shinar Computer Science & Engineering UC Riverside. Rendering

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

CS230: Lecture 5 Case Study

CS230 : Computer Graphics

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_fall_2018/reports/12437786.pdf · ANET achieved 0.87 recall rate across all test cases. CS230: Deep Learning, Fall 2018, Stanford University,

CS230: Lecture 9 Deep Reinforcement Learning · Kian Katanforoosh, Andrew Ng, Younes Bensouda Mourri CS230: Lecture 9 Deep Reinforcement Learning Kian Katanforoosh Menti code: 80

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6940467.pdfCS 229 team that tackled ZSY. We used a TD- learning algorithm with hand-picked features that played many

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

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 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6939642.pdf · with a non-native clip as the "content" and a US accent clip as the "style". The CNN classifier was

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: Lecture 5cs230.stanford.edu/fall2017/files/CS230_Handout6.pdf · CS230: Lecture 5 Advanced topics in Object Detection Kian Katanforoosh, Andrew Ng Stanford University. Kian

CS230 Deep Learning

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

web.stanford.eduweb.stanford.edu/class/cs230/files_winter_2018/projects/6940392.pdf · observer and an object to facilitate vision-based obstacle perception [2]. Other remaining approaches

CS230: Lecture 3cs230.stanford.edu/files/lecture-notes-3.pdf · CS230: Lecture 3 The mathematics of deep learning Backpropagation, Initializations, Regularization Kian Katanforoosh

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

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/posters/6880178.pdf · 2018-09-28 · Blackjack is one of the oldest casino games, and remains one of the most popular. In

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

Midterm Review CS 230 – Distributed Systems (cs230) Nalini Venkatasubramanian [email protected]

CS230 : Computer Graphicsshinar/courses/cs230-winter-2012/Lecture12.pdf · Rise of the Planet of the Apes, 2011 Avatar, 2009 Andy Serkis - Gollum, Lord of the Rings ... - animations

cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940224.pdf · Exploring Knowledge Distillation of Deep Neural Networks for Efficient Hardware Solutions Haitong Li

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6940447.pdfThe softmax function sorted items into 12 price buckets and our model was able to achieve a training accuracy

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/files_winter_2018/projects/6940498.pdf · 2018-09-28 · iterating through innovative drugs and treatments on the path to curing cancer. We investigate

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6922047.pdf · movie critic rating based on movie profiles using neural networks. In building our model we will use

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

carlisleindian.dickinson.educarlisleindian.dickinson.edu/.../NARA_1327_b056_f2810.pdfNUMBER BAND PARENTS LIVING OR DEAD FATHER, ARRIVED AT SCHOOL TO COUNTRY ENGLISH NAME INDIAN MOTHER,

CS230 Deep Learningcs230.stanford.edu/files_winter_2018/projects/6926979.pdf · Our neural network architecture, presented in Fig. 2, is inspired by the VGG neural network [13]. However,