Questions tagged [alex-net]
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How does Alexnet flatten operation go from 6x6x256 tensor to 4096 vector
In the Alexnet model, after the encoder steps are completed, you end up with a 6x6x256 tensor. Now this needs to be flattened before we go to the ANN part of the ...
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How to resize MNIST images to fit AlexNet model
I am using the keras API to load in the MNIST dataset. My problem is I need to use AlexNet as my algorithm. Understanding the AlexNet model, I require to start with 277x277 images but the MINST ...
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Adapting ZFNet on 2244x224 image using a filter 7X7
I am building a model based on ZFNet in Tensorflow 2.0. I am using the Petal images dataset. The images are of size 224x244x3.
So my question is when implementing the first layer (conv2d) with filter ...
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Where are the 60 million params of AlexNet?
On the abstract of the AlexNet paper, they claimed to have 60 million parameters:
The neural network, which has 60 million parameters and 650,000 neurons, consists
of five convolutional layers, some ...
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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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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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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 ...
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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 ...
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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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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 ...
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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, ...
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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 ...
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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 ...
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