sequence_models/experiments

Sequence Models Experiment Overview

This page provides an overview of the experiments conducted on sequence models. Sequence models are essential for tasks like language modeling, machine translation, and speech recognition.

Experiment List

• Language Modeling: Experiments focused on training models to predict the next word in a sequence.
  • More about Language Modeling
• Machine Translation: Research on building models that can translate text from one language to another.
  • Explore Machine Translation Experiments
• Speech Recognition: Experiments involving converting spoken language into text.

Tools and Technologies Used

• TensorFlow
• PyTorch
• Keras

Recent Findings

• We've achieved state-of-the-art results in language modeling with our latest model.
• Our machine translation model shows promising performance on several language pairs.

Sequence Model Architecture

For more detailed information about our experiments, visit our Research Publications.