Papers
Revolutionary Deep Learning Models - All Implemented In PyTorch
Install / Use
/learn @anshumantekriwal/PapersREADME
Deep Learning Papers
Greatest Deep Learning Models - Built And Implemented In PyTorch
<br />Contents
<br />LeNet
One Of The First Papers To Discuss The Implementation Convolutional Neural Nets <br />
Model Architecture
<img width="900" alt="Screenshot 2022-05-21 at 12 56 58 AM" src="https://user-images.githubusercontent.com/105856839/169598176-e7d6cf53-a3ff-4c83-8aad-e52e232d17dc.png">Code
- <b>Model</b>
- <b>Implementation</b>
VGG-16
One Of The First Papers To Suggest Increasing Depth Of A ConvNet On It's Accuracy On Large Scale Image Recognition Dataset <br />
Model Architecture
<img width="550" alt="Screenshot 2022-05-23 at 6 41 58 PM" src="https://user-images.githubusercontent.com/105856839/169827087-70ba51c3-125c-46de-aa0d-37b3d486a6ef.png">Code
- <b>Model</b>
- <b>Implementation</b>
GoogLeNet
The First Paper To Apply Dimensionality Reduction With Stacked 1x1 Convolutions To Allow For More Efficient Computation <br />
Model Architecture
Inception Block
<img width="828" alt="Screenshot 2022-05-27 at 9 12 36 AM" src="https://user-images.githubusercontent.com/105856839/170624846-788da5a7-04eb-4af7-badc-925e3c5d66b3.png">GoogLeNet Architecture
<img alt="Screenshot 2022-05-27 at 9 14 10 AM" src="https://media.geeksforgeeks.org/wp-content/uploads/20200429201549/Inceptionv1_architecture.png"> <br />Code
- <b>Model</b>
- <b>Implementation</b>
ResNet
First Paper To Solve The Issue Of Vanishing And/Or Exploding Gradients In Deep CNNs. <br />
Model Architecture
Residual Block
<img width="600" alt="Screenshot 2022-05-31 at 7 45 08 PM" src="https://user-images.githubusercontent.com/105856839/171194924-547aa99c-f6bd-4617-b6f0-4431a1a2b1cc.png">ResNet Architecture
<img width="900" height="400" alt="Screenshot 2022-05-31 at 7 50 11 PM" src="https://user-images.githubusercontent.com/105856839/171196425-40dd99ef-a9c0-43e8-88c6-79bc4be1264f.png"> <br />Code
- <b>Model</b>
- <b>Implementation</b>
LinearGAN / PrimitiveGAN
Introduction To Generative Adversial Networks <br />
Model Architecture
Discriminator/Generator Architecture
<img width="600" src="https://user-images.githubusercontent.com/105856839/175521872-d5a0c126-7790-403b-ab15-fa61f3d8a2dd.png" /> <br />Code
- <b>Model</b>
- <b>Implementation</b>
Result
<img alt="Screenshot 2022-05-23 at 6 41 58 PM" src="https://user-images.githubusercontent.com/105856839/175522562-e35ecc2d-16f5-4b63-836f-cedd3d378c08.png"> <br />DCGAN / ConvolutionalGAN
Convolutions Integrated In To Generative Adversial Networks <br />
Model Architecture
Discriminator/Generator Architecture
<img width="600" src="https://user-images.githubusercontent.com/105856839/188301432-304b1025-5616-4951-a39e-0fcb994328ed.png" /> <br />DigitGAN
Code
- <b>Model</b>
- <b>Implementation</b>
Result
<img width=500 src="https://github.com/Ansh3101/DeepLearning-Papers/blob/main/DCGAN/DigitGAN/Results.png/"> <br />FaceGAN
Code
- <b>Model</b>
- <b>Implementation</b>
Result
<img width=500 src="https://github.com/Ansh3101/DeepLearning-Papers/blob/main/DCGAN/FaceGAN/Results.png/"> <br />Check Out Issue For To Do!
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