Deep Learning Practice!

Count of Papers Solved - 16

Info

• Here I will try to implement research papers and deep learning concepts which I will practice with time!
• I will keep a count and attach research papers as links for the same below

[01] Complex Neural Networks

• Convolutional Neural Network (CNN) - Link

[02] Activation Functions

• ReLU - Link
• Sigmoid
• tanh
• Leaky ReLU - Link
• Softmax
• GELU
• PReLU - Link
• eLU - Link

[03] Optimizers

• SGD - Link
• Adam

[04] Generative Models

• GAN - Link
• VAE - Link
• DDPM - Link

[05] Reinforcement Learning

• Deep Q Network - Link

[06] Transformers

• Attention is all you need - Link
• GPT-2 -Link

[07] LLMs

• Llama 3
• Rotary Position Embeddings - Link
• BLeu

[08] Enhance Models

• Distillation
• LoRa