Notes
Deep Learning
Neural networks, deep architectures, optimization techniques, and advanced deep learning concepts.
These notes are being written. Each topic below will become its own page. Contributions are welcome — every page is a Markdown file in the repository.
Planned topics
| Topic | Level | Tags |
|---|---|---|
| Neural Networks | intermediate | feedforward, backpropagation, activation functions |
| Deep Architectures | advanced | CNNs, RNNs, LSTM, GRU |
| Optimization Techniques | advanced | SGD, Adam, learning rate scheduling |
| Transfer Learning | intermediate | pretrained models, fine-tuning |
| Generative Models | advanced | GANs, VAEs, generative AI |
| Deep Reinforcement Learning | advanced | Q-learning, policy gradients, DQN |