Deep Learning AI - NLP Specialization

This repository contains projects and exercises from the Natural Language Processing Specialization by DeepLearning.AI. The commits will follow the progression of topics covered in the specialization.

🚀 First Project: Sentiment Analysis

The initial project in this repository focuses on Sentiment Analysis, applying NLP techniques to classify text sentiment.

📌 Repository Structure

The repository will be organized based on the topics covered in the NLP specialization. Some of the key areas include:

• Tokenization & Text Processing
• Word Embeddings & Vectorization
• Sequence Models (RNN, LSTMs, GRUs)
• Transformers & Attention Mechanisms
• Application of Pre-trained Models

📖 Learning Progress

Each commit will represent progress on a specific topic, including:

• Theory notes
• Implementations of key concepts
• Experiments and applications

🛠️ Setup Instructions

To work with this repository using Jupyter Notebook:

# Clone the repository
git clone https://github.com/silvabar/deep-learning-ai.git
cd deep-learning-ai

# (Optional) Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows use 'venv\Scripts\activate'

# Install Jupyter and dependencies
pip install jupyter ipykernel

# Add virtual environment to Jupyter
python -m ipykernel install --user --name=venv --display-name "Python (venv)"

# Start Jupyter Notebook
jupyter notebook

📌 Contributions

This repository is for personal learning, but feel free to fork and explore!

📄 License

This repository is for educational purposes, following the DeepLearning.AI NLP Specialization.