IMDB Sentiment Analysis (Python + C++ with ONNX Runtime)

This project performs sentiment analysis on IMDB movie reviews, using a neural network trained in Python with Keras and deployed in C++ using ONNX Runtime for fast inference.

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📌 What This Project Does

• Trains a simple MLP neural network on the IMDB dataset (binary classification: positive or negative review)
• Converts the trained model to ONNX format
• Loads and runs the ONNX model using C++ and ONNX Runtime

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🚀 Technologies Used

• Python (Keras, NumPy, keras2onnx, ONNX)
• C++ (ONNX Runtime C++ API)
• IMDB dataset (included in Keras)

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📂 Files

File	Description
train_and_export.py	Python script to train the model and export to ONNX
main.cpp	C++ code to load the ONNX model and run inference
imdb_sentiment.onnx	Exported model (generated by the Python script)

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🛠 How to Use

1. Install Python Requirements

pip install keras keras2onnx onnx numpy