Deep Learning for Sentiment Analysis

Perceptrons and Multi-layer Perceptrons

Activation Functions

Loss Functions

Optimization Algorithms

Regularization Techniques

Vanilla RNNs

Long Short-Term Memory

Gated Recurrent Units

1D Convolutions

Multiple Filter Sizes

Pooling Operations

Multi-channel CNNs

CNN-LSTM Combinations

Attention Concept

Self-Attention

Multi-Head Attention

Attention Visualization

Encoder-Decoder Structure

Position Encoding

Layer Normalization

Feed-Forward Networks

Transfer Learning Principles

Fine-tuning Strategies

Domain Adaptation

Few-Shot Learning

Hierarchical Attention Networks

Memory Networks

Graph Neural Networks

Capsule Networks

Data Augmentation

Batch Processing

Learning Rate Scheduling

Early Stopping

Model Checkpointing