Deep-Learning-Primer
7 articles1 article
6 articles
- Word Embeddings: From SVD to Word2Vec Deep Learning
- RNNs, LSTMs, and GRUs: Backpropagation Through Time and Vanishing Gradients Deep Learning
- Regularization in Deep Networks: Weight Decay, Dropout, Early Stopping, and Batch Norm Deep Learning
- Weight Initialization and Layer Normalization: Keeping Deep Signals Stable Deep Learning
- Backpropagation and Optimizers: From SGD to Adam and AdamW Deep Learning
- Activation Functions: From Sigmoid to GELU, and Why Gradients Vanish Deep Learning