Handwritten Digit Classification with CNN

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I'm looking for a data scientist with strong experience in machine learning and deep learning, specifically in building and evaluating Convolutional Neural Networks (CNNs) using TensorFlow/Keras. Key components of the project: - Preprocessing: The project involves using the MNIST dataset. The required preprocessing steps include normalization, data augmentation, and shuffling the data. - Model Building: You'll need to build a CNN from scratch to classify the handwritten digits. - Model Evaluation: The performance of the model should be assessed using various metrics such as accuracy, precision, recall, F1-score, and AUC-ROC. - Optional Enhancements: If you're able to, hyperparameter tuning would be a beneficial addition. Visualizing misclassified digits to gain deeper ins...

Keyword: Machine Learning

Delivery Time: 6 days left days

Price: $259.0

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