Description
We will go through several model definitions that have achieved state-of-the-art results in the ImageNet competitions. We will look at them individually on the following topics.
The bigger deep learning models
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The ImageNet dataset and competition
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Pyhton code for readout system of nanocomposite gas sensor
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The DenseNet model
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3D Convolutional neural network model in TensorFlow
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The Google Inception-V3 model
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Python code for merging two separate photos to create a single, multi-person photo
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The Microsoft ResNet-50 model
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Orbital fit difference (D-value) and observational cadence
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Python code for Vehicle Make Detection by Convolutional Neural Networks
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The VGG-16 model
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Python code for Classification of photographic images based on perceived aesthetic quality
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The AlexNet model
Troubleshooting and online tutorials
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