Questions tagged [alex-net]

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5
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2answers
73 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 ...
0
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1answer
32 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
30 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 ...
0
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0answers
15 views

How to build an AlexNet from scratch, provided a set of Images set?

I was asked to embed an AlexNet in a Java application but I'm not a machine learning at all. This is what I did. First I tried to build it using MatLab (using this deploy https://github.com/BVLC/caffe/...
0
votes
0answers
42 views

Training loss and accuracy is oscillating and failed to converge

I was using AlexNet to do dog&cat classification tasks practice: https://github.com/stephen-v/tensorflow_alexnet_classify While I run the training, the loss oscillated while decreasing, which ...
1
vote
0answers
93 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 ...
1
vote
0answers
109 views

Bias of 1 in fully connected layers introduced dying relu problem

While implementing AlexNet (model-code), one of the thing I need to do was to initialize the biases of the convolutional layers and fully connected layers. Normally we initialize biases with 0s, but ...
4
votes
3answers
4k 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
votes
0answers
516 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 ...