cs230.stanford.edu · imaging insights is a motivation for the development of fast and less...

6

Upload: others

Post on 28-May-2020

2 views

Category:

Documents

0 download

Report

Download

Embed Size (px):

TRANSCRIPT

Page 1: cs230.stanford.edu · imaging insights is a motivation for the development of fast and less compute-intensive algorithms. ... fine-tuned versions of AlexNet, VGGNet-16, and GoogLeNet

Page 2: cs230.stanford.edu · imaging insights is a motivation for the development of fast and less compute-intensive algorithms. ... fine-tuned versions of AlexNet, VGGNet-16, and GoogLeNet

Page 3: cs230.stanford.edu · imaging insights is a motivation for the development of fast and less compute-intensive algorithms. ... fine-tuned versions of AlexNet, VGGNet-16, and GoogLeNet

Page 4: cs230.stanford.edu · imaging insights is a motivation for the development of fast and less compute-intensive algorithms. ... fine-tuned versions of AlexNet, VGGNet-16, and GoogLeNet

Page 5: cs230.stanford.edu · imaging insights is a motivation for the development of fast and less compute-intensive algorithms. ... fine-tuned versions of AlexNet, VGGNet-16, and GoogLeNet

Page 6: cs230.stanford.edu · imaging insights is a motivation for the development of fast and less compute-intensive algorithms. ... fine-tuned versions of AlexNet, VGGNet-16, and GoogLeNet

TR-4785 AI on E-Series with BeeGFS - NetApp · 2019-07-11 · The time needed to train the ResNet model is longer than for the other models, such as AlexNet and VGG-16. AlexNet AlexNet

Review of state-of-the-arts in arti cial intelligence with ... · Video processing 24fps on AlexNet demands just 82 G ops and GoogleNet demands 265 G ops. Here’s why. The best benchmark

A arXiv:1611.01599v2 [cs.LG] 16 Dec 2016 · Yannis M. Assael 1;y, Brendan Shillingford , ... model is trained by freezing the VGGNet parameters and then training the RNN, rather than

GoogLeNet - Going Deeper with Convolutionsanderson/deeplearning/Deep Learning... · Introdução rabTalhos Relacionados GoogLeNet Conclusão Referências Szegedy, Christian, et al

Apply VGGNet-based deep learning model of vibration data

Content...specifically for our task. Andrew is working with AlexNet, and Justin is working with TensorFlow. 1.1 AlexNet Introduction For easily modifying a pre-existing network, AlexNet

Lecture 1: Introduction to Deep LearningEvolution of ConvNets • LeNet (LeCun, 1998) – Basic structures: convolution, max-pooling, softmax • Alexnet (Krizhevsky et.al 2012) –

GoogLeNet Insights

DetNet: Design Backbone for Object Detection · 2018. 8. 28. · backbone DarkNet[29], and then simpliﬁes detection as a regression problem. SSD [24] adopts reduced VGGNet[35] and

Is Image Memorability Prediction Solved? - CVF Open Accessopenaccess.thecvf.com/content_CVPRW_2019/papers/MBCCV/... · 2019-06-10 · GoogLeNet-ImageNet+XGBoost 0.62 0.63 0.55 43.88

LSTM-in-LSTM for generating long descriptions of …LSTM-in-LSTM for generating long descriptions of images 381 VggNet [17]). Object detection systems based on a well trained DeepCNN

Deep Learning in Higher Dimensions · – Audio / Speech – Also Point Clouds • 2D ConvNets – Images (AlexNet, VGG, ResNet -> Classification, Localization, etc..) • 3D ConvNets

Convolutional Neural Networks: A Comprehensive Survey · Convolutional Neural Network, Network Architectures, VGGNet, ResNet, DenseNet. 1. INTRODUCTION Deep Learning is a broader

2028 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 26, NO. … · AlexNet [1], VGGNet [20], GoogLeNet [21], and ResNet [2]. Compared with conventional hand-crafted representations,

G2DeNet: Global Gaussian Distribution Embedding Network ... · Place Recognition (Pitts30k) NetVLAD (85.6) VS. AlexNet(69.8) (+AlexNet) ~ 15% R. Arandjelovic, P. Gronat, A. Torii,

BENCHMARKING DEEP LEARNING FRAMEWORKS FOR THE ... · satellite multispectral datasets. In particular, the performed benchmark included the AlexNet, AlexNet-small and VGG models which

Lecture 9: CNN Architectures - Artificial Intelligencevision.stanford.edu/teaching/cs231n/slides/2017/cs231n_2017_lectur… · Lecture 9 - 19 May 2, 2017 Case Study: AlexNet [Krizhevsky

An Untimed SystemC Model of GoogLeNet

Review of State-of-the-Art in Deep Learning Artificial ...Video processing 24fps on AlexNet demands just 82 Gflops and GoogleNet demands 265 Gflops. Here’s why. The best benchmark

Compute -Efficient Neural-Network Acceleration...Compute -Efficient Neural Processing ˃ Case Study: GoogLeNet v1 Inference 3 parallel GoogLeNets with their own weights Aggregate 3046

The AlexNet Moment for Homomorphic Encryption: …The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs Ahmad Al Badawi 1, Jin

Xilinx Edge AI Solution - Agasint Edge AI...License Plate Detection Modified DenseBox License Plate Recognition GoogleNet + Multi-task Learning ADAS/AD Object Detection SSD, YOLOv2,

ImageNet Classiﬁcation with Deep Convolutional Neural …vision.stanford.edu/teaching/cs231b_spring1415/slides/alexnet... · ImageNet Classiﬁcation with Deep Convolutional Neural

MobileNetV2: Inverted Residuals and Linear …...training algorithms, carried out by numerous teams has lead to dramatic improvements over early designs such as AlexNet [5], VGGNet

DERİN ÖĞRENME · DERİN ÖĞRENME MODELLERİ ... 2010 2011 AlexNet-2012 2013 VGG-2014 GoogLeNet-2014 ResNet-2015 ResNet-2016 EĞİTİM HATASI (%) Yıllar ... SİYAH TİŞÖRT GİYEN

ML with Tensorflow-new - GitHub Pages · Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 7 -68 27 Jan 2016 Case Study: AlexNet [Krizhevsky et al. 2012] Full (simplified) AlexNet

Visualizing and Comparing AlexNet and VGG using ... › icmlviz2016 › assets › papers › 4.pdf · Visualizing and Comparing AlexNet and VGG using Deconvolutional Layers (a) (b)

AlexNet - cvml.ist.ac.atcvml.ist.ac.at/courses/DLWT_W17/material/AlexNet.pdf · AlexNet Krizhevsky , Alex, Ilya Sutskever , and Geoffrey E. Hinton , "Imagenet classification with

1 AlexNet (Exercice noté) - Les pages des personnels du

The Vision Behind MLPerf (mlperf.org)Deep Learning has Reinvigorated Hardware GPUs ⇒ AlexNet, Speech. TPUs ⇒ Many Google applications: AlphaGo and Translate, WaveNet speech. →

Brain tumor classification using SVM based AlexNet

The BioHPC Nucleus Cluster & Future Developments · The BioHPC Nucleus Cluster & Future Developments 1. ... TensorFlow AlexNet Benchmark Dual P100 approx. 4.3x faster than single

The Alexnet-ResNet-Inception Network for Classifying Fruit Images · 2020. 2. 9. · 1 The Alexnet-ResNet-Inception Network for Classifying Fruit Images 2 Wenzhong Liua,b,* 3 4 aSchool

Weakly supervised object detection (WSOD) · Diba CVPR 2017 (VGG16) Bilen CVPR 2016 (VGG16) Bilen CVPR 2016 (AlexNet) Cinbis PAMI 2016 (AlexNet+FV) Bilen CVPR 2015 Wang ECCV 2014

MATLAB Expo 2018 Munich...Best documentation ever! $$$ Widely used programming language Inexpensive, free ... Deep Learning Transfer Learning Face Detection • Use of AlexNet •