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Data Co-Lab's Projects

d2l-en icon d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

facial-emotion-recognition icon facial-emotion-recognition

This project aims to detect facial expressions in real time using CNNs. We subdivided the task into 2 smaller tasks: Detecting faces using YOLO and then Training a CNN on these small close-up face images to identify emotions. The dataset used in this project is the famous FER13 data.

mastering_gym_library icon mastering_gym_library

The main focus of this project is the understanding of the Gym library, writing a simplified code and adapting it to several classic games and Atari games.

plant_disease_classification icon plant_disease_classification

This project aims to detect plant diseases from plant leaf images. To achieve this goal we preprocessed images using the grabcut algorithm and trained a CNN model using the plant disease dataset from kaggle. Our model successfully classifies 38 different types of disease with an accuracy up to 97%.

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