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Course on Deep Learning mostly focused in computer vision with convolutional neural networks

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Nau3D/Deep-Learning-Course-PyTorch

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13 Commits
concepts
concepts
 
 
notebook_images
notebook_images
 
 
util
util
 
 
01-MNIST_Fully_Connected_tutorial.ipynb
01-MNIST_Fully_Connected_tutorial.ipynb
 
 
02-MNIST_testing_FC_architectures.ipynb
02-MNIST_testing_FC_architectures.ipynb
 
 
03-MNIST_FC_vs_Conv.ipynb
03-MNIST_FC_vs_Conv.ipynb
 
 
04-layers.ipynb
04-layers.ipynb
 
 
05-validation_set.ipynb
05-validation_set.ipynb
 
 
06.0_balance.ipynb
06.0_balance.ipynb
 
 
06.1_balanced evaluation.ipynb
06.1_balanced evaluation.ipynb
 
 
07-ensembles.ipynb
07-ensembles.ipynb
 
 
08-transferLearning.ipynb
08-transferLearning.ipynb
 
 
09-autoencoders.ipynb
09-autoencoders.ipynb
 
 
10-VAE.ipynb
10-VAE.ipynb
 
 
11-CVAE.ipynb
11-CVAE.ipynb
 
 
12-UNet-segmentation.ipynb
12-UNet-segmentation.ipynb
 
 
README.md
README.md
 
 

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Deep Learning Course

This repo contains a set of notebooks used in a Deep Learning Course at University of Minho. The course is centered on image classification and generative models.

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Course on Deep Learning mostly focused in computer vision with convolutional neural networks

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pytorch convolutional-neural-networks

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