Media Summary: Basic machine learning: - Supervised, unsupervised, reinforcement learning - Optimization: Objective function, loss function, ... BERT & GPT - Word embedding review - Contextualized word embedding (ELMo, GPT-1, BERT) - GPT-2 & GPT-3 & ChatGPT ... Transformers - Prepare input - Implement Transformer - Train and Evaluate - Visualize attention.
Programming For Ai Ai504 Fall - Detailed Analysis & Overview
Basic machine learning: - Supervised, unsupervised, reinforcement learning - Optimization: Objective function, loss function, ... BERT & GPT - Word embedding review - Contextualized word embedding (ELMo, GPT-1, BERT) - GPT-2 & GPT-3 & ChatGPT ... Transformers - Prepare input - Implement Transformer - Train and Evaluate - Visualize attention. BERT & GPT - Word embedding review - Contextualized word embedding (ELMo, GPT) - BERT - GPT-2 & GPT-3. Transformer - Self-attention - Multi-head attention - Transformer (encoder) - Positional encoding - Sequence-to-sequence with ... Autoencoder - Latent representation - Autoencoder - Training process - Visualization - Sparse autoencoder, denoising ...
Image to Text - Dataset preprocessing (Flickr 8k) - Show, Attend and Tell implementation: encoder, attention module, docoder ...
