CS230 Deep Learning · 2018-09-28 · 1.2 Deep Q-Networks ... inspiration from DeepMind's later...

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Transcript of CS230 Deep Learning · 2018-09-28 · 1.2 Deep Q-Networks ... inspiration from DeepMind's later...

Page 1: CS230 Deep Learning · 2018-09-28 · 1.2 Deep Q-Networks ... inspiration from DeepMind's later papers Mastering the Game of Go with Deep Neural Networks and Tree Search by Silver
Page 2: CS230 Deep Learning · 2018-09-28 · 1.2 Deep Q-Networks ... inspiration from DeepMind's later papers Mastering the Game of Go with Deep Neural Networks and Tree Search by Silver
Page 3: CS230 Deep Learning · 2018-09-28 · 1.2 Deep Q-Networks ... inspiration from DeepMind's later papers Mastering the Game of Go with Deep Neural Networks and Tree Search by Silver
Page 4: CS230 Deep Learning · 2018-09-28 · 1.2 Deep Q-Networks ... inspiration from DeepMind's later papers Mastering the Game of Go with Deep Neural Networks and Tree Search by Silver
Page 5: CS230 Deep Learning · 2018-09-28 · 1.2 Deep Q-Networks ... inspiration from DeepMind's later papers Mastering the Game of Go with Deep Neural Networks and Tree Search by Silver
Page 6: CS230 Deep Learning · 2018-09-28 · 1.2 Deep Q-Networks ... inspiration from DeepMind's later papers Mastering the Game of Go with Deep Neural Networks and Tree Search by Silver

Deep Belief Networks

Deep Belief Networks

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

cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940282.pdf · Deep Q-networks were first introduced in Mnih et al.'s paper Playing Atari with Deep Reinforcement Learning

cs230.stanford.educs230.stanford.edu/files_winter_2018/projects/6940282.pdf · Deep Q-networks were first introduced in Mnih et al.'s paper Playing Atari with Deep Reinforcement Learning

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

Deep Continuous Networks

Deep Continuous Networks

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.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 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: 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: Lecture 9 Deep Reinforcement Learning

CS230: Lecture 9 Deep Reinforcement Learning

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

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

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/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/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 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 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,

Lecture 10: Neural Networks and Deep Learningsaravanan-thirumuruganathan.github.io/cse5334... · Neural Networks Deep Learning Convolutional Neural Networks Recurrent Neural Networks

Lecture 10: Neural Networks and Deep Learningsaravanan-thirumuruganathan.github.io/cse5334... · Neural Networks Deep Learning Convolutional Neural Networks Recurrent Neural Networks

Deep Expander Networks: Efficient Deep Networks …openaccess.thecvf.com/content_ECCV_2018/papers/Ameya...Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu⋆

Deep Expander Networks: Efficient Deep Networks …openaccess.thecvf.com/content_ECCV_2018/papers/Ameya...Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu⋆

CS230 Deep Learning...1891 STANFORD UNIVERSITY cs 230 DEEP LEARNING Video Interpolation of Human Motion Authors: Max Evans, Sizhu Cheng, Rishabh A. …

CS230 Deep Learning...1891 STANFORD UNIVERSITY cs 230 DEEP LEARNING Video Interpolation of Human Motion Authors: Max Evans, Sizhu Cheng, Rishabh A. …

Deep neural networks

Deep neural networks

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18675538.pdfconvolutional neural networks. " Convolutional Neural Networks for Visual Recognition 2 (2016). [3] Sharma,

cs230.stanford.educs230.stanford.edu/projects_spring_2019/reports/18675538.pdfconvolutional neural networks. " Convolutional Neural Networks for Visual Recognition 2 (2016). [3] Sharma,

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

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