Computer Science and Engineering

Deep Learning Virtual Laboratory
  1. Perceptron
  2. Feedforward Neural Networks (MLP)
  3. Activation Functions & Optimization
  4. Convolutional Neural Networks (CNN)
  5. Transfer Learning with Deep CNNs
  6. Recurrent Neural Networks (RNN)
  7. LSTM for Sentiment Analysis
  8. Autoencoders for Representation Learning
  9. Generative Adversarial Networks (GANs)
  10. Transformers in Vision