Deep Learning

Projects

• Image classification
  • Model: Multilayer Perceptron (MLP)
  • Dataset: CIFAR-10
• Image generation
  • Model: Generative Adversarial Network (GAN)
  • Dataset: CelebA

Tutorials

1. PyTorch basics
2. Multilayer Perceptron (Part 1)
   • Linear Regression
   • Logistic Regresssion
   • Multilayer Perceptron
3. Multilayer Perceptron (Part 2)
   • Softmax Function
   • MNIST Classifier Model
4. Regularization
   • L1, L2 Regularization
   • Cifar-10
   • Dropout
   • Normalization
5. Optimization
   • Gradient
   • Optimizer
6. AutoEncoder
   • AutoEncoder (using MNIST dataset)
   • Denoising AutoEncoder
   • Stacked AutoEncoder
7. Pytorch Custom Dataset
8. Convolutional Neural Network (CNN)
   • MNIST
   • CIFAR-10
9. Visualization & Image Detection
10. Recurrent Neural Network (RNN)
11. Generative Adversarial Network (GAN)
    • FID-score