Questions tagged [alex-net]

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4
votes
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, ...
5
votes
4answers
98 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 ...
3
votes
0answers
29 views

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, ...
0
votes
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 ...
0
votes
1answer
70 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
votes
1answer
99 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 ...
1
vote
0answers
128 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 ...
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 ...
2
votes
0answers
627 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 ...