Media Summary: Autoencoder: - Implementing & training an autoencoder - Visualizing the reconstructed outputs - Visualizing latent representations ... BERT & GPT - Word embedding review - Contextualized word embedding (ELMo, GPT-1, BERT) - GPT-2 & GPT-3 & ChatGPT ... Basic machine learning: - Supervised, unsupervised, reinforcement learning - Optimization: Objective function, loss function, ...
Programming For Ai Ai504 Fall - Detailed Analysis & Overview
Autoencoder: - Implementing & training an autoencoder - Visualizing the reconstructed outputs - Visualizing latent representations ... BERT & GPT - Word embedding review - Contextualized word embedding (ELMo, GPT-1, BERT) - GPT-2 & GPT-3 & ChatGPT ... Basic machine learning: - Supervised, unsupervised, reinforcement learning - Optimization: Objective function, loss function, ... Transformers - Prepare input - Implement Transformer - Train and Evaluate - Visualize attention. Image to Text - Dataset preprocessing (Flickr 8k) - Show, Attend and Tell implementation: encoder, attention module, docoder ... Recurrent Neural Networks - RNN, Bidirectional RNN, GRU - Minibatch and padding - Sequence to sequence (French-English ...
BERT & GPT - Word embedding review - Contextualized word embedding (ELMo, GPT) - BERT - GPT-2 & GPT-3. Image to Text (image captioning) - Dataset preprocessing (Flickr 8k) - Show, Attend and Tell implementation: encoder, attention ...
