Handwritten Digit Recognition with CNN
Budget: $30 – $250 USD
I need assistance in building a convolutional neural network (CNN) using Python and TensorFlow. The goal is to accurately recognize handwritten digits from the MNIST dataset with over 97% accuracy. This is for an educational machine learning project.
Requirements:
- Build and train a CNN model
- Use MNIST dataset for training
- Achieve over 97% accuracy
- Provide basic accuracy and loss metrics
Ideal Skills and Experience:
- Proficiency in Python and TensorFlow
- Experience with CNNs and image classification
- Knowledge of model training and evaluation metrics
- Ability to document the process and results
Please ensure the project is completed within the specified budget.
Requirements:
- Build and train a CNN model
- Use MNIST dataset for training
- Achieve over 97% accuracy
- Provide basic accuracy and loss metrics
Ideal Skills and Experience:
- Proficiency in Python and TensorFlow
- Experience with CNNs and image classification
- Knowledge of model training and evaluation metrics
- Ability to document the process and results
Please ensure the project is completed within the specified budget.