Complete CNN Image Classification Models for Real Time Prediction
Learn to build real-time image classification models using Convolutional Neural Networks (CNN). This tutorial will guide you through creating and training models to predict insights for AI projects,
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Project Outcomes
- Designed a real-time image classifier using CNN-based from scratch.
- Accomplished high accuracy on the binary classification of Buildings against Forests.
- Used data augmentation to enhance performance.
- In this research, a CNN model was trained using TensorFlow and Keras libraries.
- Validated over 93% of datasets which is a good means for a model like this.
- Plots training and validation accuracy and training and validation loss.
- Stored the model for later use in consecutive real-time predictions.
- It aims to teach viewers how to preprocess images for computer vision tasks.
- Get hands-on experience in applying machine learning models into production as self-driving cars, healthcare, industry solutions, and more.
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