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deep learning - Caffe Python | Low accuracy of GoogleNet …

https://stackoverflow.com/questions/43561454/caffe-python-low-accuracy-of-googlenet-could-be-caused-by-bad-form-of-input-da

Using the pretrained GoogleNet got me from 23% (top1) accuracy, to 24% (top1). Any other ideas on how I could improve it? Just mentioning that the FER2013 dataset is a hard …


Caffe GoogleNet model predictions are always the same

https://stackoverflow.com/questions/44262567/caffe-googlenet-model-predictions-are-always-the-same

First is you should use np.transpose before setting the mean, because in caffe.io.load, the image still has the shape (224,224,3). Second is that you need to rescale the …


Why I got an accuracy 99 % but when I deploy the model …

https://groups.google.com/g/caffe-users/c/K4xpXWdfvVA/m/Rf9ONOroBwAJ

After training , I got 99 % as accuracy ( you can check the log file ) . But , the problem is when I deploy the model I did not get 99 % . In fact , I tried to test my model on …


Deep Neural Network with Caffe models - GitHub Pages

http://amroamroamro.github.io/mexopencv/opencv/caffe_googlenet_demo.html

Create and initialize network from Caffe model Prepare blob from input image Set the network input Make forward pass and compute output Gather output of "prob" layer Show predictions …


caffe/readme.md at master · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/blob/master/models/bvlc_googlenet/readme.md

The bundled model is the iteration 2,400,000 snapshot (60 epochs) using quick_solver.prototxt This bundled model obtains a top-1 accuracy 68.7% (31.3% error) and a …


Deep Learning: GoogLeNet Explained | by Richmond …

https://towardsdatascience.com/deep-learning-googlenet-explained-de8861c82765

GoogLeNet is a 22-layer deep convolutional neural network that’s a variant of the Inception Network, a Deep Convolutional Neural Network developed by researchers at Google. …


Review: GoogLeNet (Inception v1)— Winner of ILSVRC …

https://medium.com/coinmonks/paper-review-of-googlenet-inception-v1-winner-of-ilsvlc-2014-image-classification-c2b3565a64e7

In this story, GoogLeNet [1] is reviewed, which is the winner of the ILSVRC (ImageNet Large Scale Visual Recognition Competition) 2014, an image classification competition, which has significant…


caffe的googlenet模型使用_haoji007的博客-CSDN博客

https://blog.csdn.net/haoji007/article/details/81035565

2 使用GoogleNet模型数据的图像分类 Googlenet模型与数据介绍 Caffe - 模型下载 bvlc_googlenet CNN模型 基于100万张图像实现1000个分类 2.1 使用模型实现图像分类 编码处 …


lim0606/caffe-googlenet-bn - GitHub

https://github.com/lim0606/caffe-googlenet-bn

The uploaded caffemodel is the snapshot of 1,200,000 iteration (30 epochs) using solver_stepsize_6400.prototxt The uploaded model achieves a top-1 accuracy 72.05% (27.95% …


The graphs show CaffeNet and GoogLeNet accuracy on CORe50 …

https://www.researchgate.net/figure/The-graphs-show-CaffeNet-and-GoogLeNet-accuracy-on-CORe50-after-each-training-batch_fig3_332235085

Download scientific diagram | The graphs show CaffeNet and GoogLeNet accuracy on CORe50 after each training batch (average on 10 runs, with different class ordering). Colored areas …


Review: Inception-v4 — Evolved From GoogLeNet, Merged with …

https://towardsdatascience.com/review-inception-v4-evolved-from-googlenet-merged-with-resnet-idea-image-classification-5e8c339d18bc

Inception-v4, evolved from GoogLeNet / Inception-v1, has a more uniform simplified architecture and more inception modules than Inception-v3. From the below figure, …


The graphs show CaffeNet and GoogLeNet accuracy on CORe50 …

https://www.researchgate.net/figure/The-graphs-show-CaffeNet-and-GoogLeNet-accuracy-on-CORe50-after-each-training-batch_fig5_325965452

Download scientific diagram | The graphs show CaffeNet and GoogLeNet accuracy on CORe50 after each training batch (average on 10 runs, with different class ordering). Better viewed in …


Caffe Python Low accuracy of GoogleNet could be caused by bad …

https://www.extends.run/thread/7229008.html

To use a pretrained model you will need to download googlenet model first from here. Now you can use this command: caffe train —solver solver.prototxt —weights …


Caffe Timings for GoogleNet, VGG, AlexNet with cuDNN #1317

https://github.com/BVLC/caffe/issues/1317

sguada commented on Oct 17, 2014 GoogleNet with cuDNN is (2.8x forward, 3.6x backward) slower than caffe_reference with cuDNN. VGGNet_16Layers without cuDNN is …


Problem, training googlenet - Google Groups

https://groups.google.com/g/caffe-users/c/ZGgvleoJD_0

This is what it looks like right now: googlenet.png. Iteration 7072000, top-1 accuracy: 0.55794 Looking at the graph I don't think I will get anywhere near the reported 68% …


CodaLab Worksheets

https://worksheets.codalab.org/worksheets/0xbcd424d2bf544c4786efcc0063759b1a

The bundled model is the iteration 2,400,000 snapshot (60 epochs) using quick_solver.prototxt This bundled model obtains a top-1 accuracy 68.7% (31.3% error) and a …


caffe-posenet/readme.md at master · alexgkendall/caffe-posenet

https://github.com/alexgkendall/caffe-posenet/blob/master/models/bvlc_googlenet/readme.md

The bundled model is the iteration 2,400,000 snapshot (60 epochs) using quick_solver.prototxt This bundled model obtains a top-1 accuracy 68.7% (31.3% error) and a top-5 accuracy 88.9% …


Caffe | Deep Learning Framework

https://caffe.berkeleyvision.org/

Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU*. That’s 1 ms/image for inference and …


Deploying Your Customized Caffe Models on Intel® Movidius™ …

https://movidius.github.io/blog/deploying-custom-caffe-models/

GoogLeNet was designed for the ImageNet 2014 challenge, which had one thousand classes. It is clearly an overkill for an application that differentiates between dogs …


Caffe net.predict () outputs random results (GoogleNet)

https://datascience.stackexchange.com/questions/6108/caffe-net-predict-outputs-random-results-googlenet

Stack Exchange network consists of 182 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their …


Manage Deep Learning Networks with Caffe* Optimized for Intel®...

https://www.intel.com/content/www/us/en/developer/articles/technical/training-and-deploying-deep-learning-networks-with-caffe-optimized-for-intel-architecture.html

Test a pre-trained model, for example, bvlc_googlenet.caffemodel, on some images, for example, cat and fish-bike; ... To train the network and plot the validation accuracy or loss vs iterations: …


Why use VGG over GoogLeNet? - Google Groups

https://groups.google.com/g/caffe-users/c/T9CJrQz-kfc

to Caffe Users My 2 cents, since I'm one of the people who adopted VGGNet. It is true that GoogLeNet require less parameters (less memory) and less computation. This has …


Caffe | ImageNet tutorial - Berkeley Vision

https://caffe.berkeleyvision.org/gathered/examples/imagenet.html

In this case score 0 is the accuracy (which will start around 1/1000 = 0.001 for an untrained network) and score 1 is the loss (which will start around 7 for an untrained network). We will …


Caffe AlexNet Benchmark - OpenBenchmarking.org

https://openbenchmarking.org/test/pts/caffe&eval=0761d451a88c39d2c259cf0c7da51c01dd1f8c8c

Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. To …


caffe opencl / bvlc_googlenet / GPU memory questions

https://www.reddit.com/r/MachineLearning/comments/504ft4/caffe_opencl_bvlc_googlenet_gpu_memory_questions/

I am trying to train a front car view classification CNN with caffe by finetunning googlenet. Since I own some old AMD Radeon 7970 (3GB global memory), I am using the OpenCL branch. My …


A Compact DNN: Approaching GoogLeNet-Level Accuracy of

https://deepai.org/publication/a-compact-dnn-approaching-googlenet-level-accuracy-of-classification-and-domain-adaptation

We observe DA accuracy degradation from model compression methods based on architecture design, e.g., a DNN with GoogLeNet-level [9] classification accuracy only obtains …


Drawing GoogLeNet with caffe's draw_net - Qiita

https://qiita.com/tttamaki/items/1e273801e89510a06212

GoogLeNetをcaffeのdraw_netで描くとすごいことになるので（例はこれとかこれ），描画を簡単化する．


Face Recognition and Classification Using GoogleNET Architecture

https://link.springer.com/chapter/10.1007/978-981-15-0035-0_20

We created our own dataset and trained it on the GoogleNet (inception) deep learning model using the Caffe and Nvidia DIGITS framework. We achieved an overall accuracy …


Fine tuning GoogLeNet - where/what to set lr_mult? - Google Groups

https://groups.google.com/g/caffe-users/c/3x82qPZ2f8E

Then num_output is 2. (in practice you might split into 3 classes, cat, dog and anything else, and then num_output=3) You need to take the original GoogLeNet …


Classify Image Using GoogLeNet - MATLAB & Simulink - MathWorks

https://www.mathworks.com/help/deeplearning/ug/classify-image-using-googlenet.html

Read and Resize Image. Read and show the image that you want to classify. I = imread ( 'peppers.png' ); figure imshow (I) Display the size of the image. The image is 384-by-512 pixels …


Cafe Noorani - Tripadvisor

https://www.tripadvisor.com/Restaurant_Review-g304554-d1138612-Reviews-Cafe_Noorani-Mumbai_Maharashtra.html

Cafe Noorani well know place at Haji Ali circle have large variety of dishes. Mughlai, Chinese, Vegetarian, snacks, roll, desserts, beverages, juices and many. This is my …


FCN using VGG and GoogleNet - Google Groups

https://groups.google.com/g/caffe-users/c/F86t6S-G8SM

to Caffe Users. Hello, I was going through the FCN paper[1]. ... The paper shows that, although VGG and GoogleNet has similar classification accuracy on ImageNet, GoogleNet …


EfficientNet: Improving Accuracy and Efficiency through AutoML …

https://ai.googleblog.com/2019/05/efficientnet-improving-accuracy-and.html

In general, the EfficientNet models achieve both higher accuracy and better efficiency over existing CNNs, reducing parameter size and FLOPS by an order of magnitude. …


Caffe | Convolution Layer - Berkeley Vision

https://caffe.berkeleyvision.org/tutorial/layers/convolution.html

Parameters. Parameters (ConvolutionParameter convolution_param) Required num_output (c_o): the number of filters; kernel_size (or kernel_h and kernel_w): specifies height and width …


caffe-5.2-(GPU complete process) training (based on googlenet, …

https://topic.alibabacloud.com/a/caffe-52-gpu-complete-process-font-colorredtrainingfont-based-on-googlenet-alexnet-fine-tuning_1_11_30572310.html

The previous model was fine-tuned using caffenet, but because the caffenet was too large for 220M, the test was too slow to change to googlenet.1. TrainingThe 2,800-time iteration of the …


FireCaffe: near-linear acceleration of deep neural network training

https://www.arxiv-vanity.com/papers/1511.00175/

This is slightly lower than the 89.9% top-5 single-model accuracy reported by Google [41], and it will be interesting to see whether the open-source Caffe community will eventually be able …


GoogleNet - Artificial Inteligence - GitBook

https://leonardoaraujosantos.gitbook.io/artificial-inteligence/machine_learning/deep_learning/googlenet

On this chapter you will learn about the googleNet (Winning architecture on ImageNet 2014) and it's inception layers. googleNet has 22 layer, and almost 12x less parameters (So faster and …


ResNet, AlexNet, VGGNet, Inception: Understanding ... - CV …

https://cv-tricks.com/cnn/understand-resnet-alexnet-vgg-inception/

Also, similar to GoogLeNet, it uses a global average pooling followed by the classification layer. Through the changes mentioned, ResNets were learned with network depth of as large as 152. …


[PDF] A Compact DNN: Approaching GoogLeNet-Level Accuracy …

https://researchain.net/archives/pdf/A-Compact-Dnn-Approaching-Googlenet-Level-Accuracy-Of-Classification-And-Domain-Adaptation-3253752

Top-1 , Top-5 ) and parameter numbers ( ) of our DNNand AlexNet [8], GoogLeNet [9], and VGG16 [32]. ForAlexNet and GoogLeNet, we directly use the trained mod-els provided by Caffe. The …


GoogLeNet convolutional neural network - MATLAB googlenet

https://www.mathworks.com/help/deeplearning/ref/googlenet.html

To classify new images using GoogLeNet, use classify. For an example, see Classify Image Using GoogLeNet. You can retrain a GoogLeNet network to perform a new task using transfer …


Review: SqueezeNet (Image Classification) - Towards Data Science

https://towardsdatascience.com/review-squeezenet-image-classification-e7414825581a

Different Hyperparameter Values for SqueezeNet. Squeeze ratio (SR) (Left): the ratio between the number of filters in squeeze layers and the number of filters in expand layers. …


GitHub - lim0606/caffe-googlenet-bn: re-implementation of …

http://www.censordodge.mede8er.click/?cdURL=aHR0cHM6Ly9naXRodWIuY29tL2xpbTA2MDYvY2FmZmUtZ29vZ2xlbmV0LWJu

re-implementation of googlenet batch normalization - GitHub - lim0606/caffe-googlenet-bn: re-implementation of googlenet batch normalization


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