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Data Science

Questions tagged [alex-net]

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AlexNet Research Paper VS PytTorch and Tensorflow implementation

I'm making my way through Deep Learning research papers, starting with AlexNet, and I found differences in the implementation of PyTorch and Tensorflow that I can't explain. In the research paper, ...
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2answers
29 views

Don't know how to preprocess my dataset for image classification

I'm trying to do image classification using CNN. The exact model isn't important but I decided to try use AlexNet and I'm getting abysmal accuracy. I believe the issue might be with my data ...
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1answer
75 views

where can I get access to AlexNet?

A lot of websites on CNN for large datasets of images talk about starting with the pretrained model for 1.2 million images in 1000 categories available via AlexNet / Imagenet. These sites seem to ...
2
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1answer
106 views

How does R-CNN and AlexNet compare?

I know AlexNet does object classification in images [categories] and R-CNN does object localization [category and bounding box]. How does R-CNN and AlexNet compare? Are they used for the same purpose ...
5
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4answers
100 views

AlexNet CNN how can it be applied to my case?

I'm working on my last year project where I'm given digitized WSI (Whole Slide Images), though they're fairly small around 1390x1040 size (which is unusual). These images are of cases of Glioblastoma ...
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0answers
129 views

Why is the GoogLeNet retrained model size less compared to others?

I have some questions if someone can answer me or guide me articles to understand them. I investigated different pre-trained model i.e. AlexNet, VGG, GoogLeNet, InceptionV3 and ResNet. I have ...
4
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3answers
5k views

Number of Fully connected layers in standard CNNs

I have a question targeting some basics of CNN. I came across various CNN networks like AlexNet, GoogLeNet and LeNet. I read at a lot of places that AlexNet has 3 Fully Connected layers with 4096, ...
2
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0answers
649 views

Why does my training loss oscillate while training the final layer of AlexNet with pre-trained weights?

I am working on texture classification and based on previous works, I am trying to modify the final layer of AlexNET to have 20 classes, and train only that layer for my multi class classification ...
3
votes
2answers
1k views

What does images per second mean when benchmarking Deep Learning GPU?

I've been reviewing performance of several NVIDIA GPU's and I see that typically results are presented in terms of "images per second" that can be processed. Experiments are typically being performed ...