Back to all projects
Deep Learning
Image Classification
Classifying images into predefined categories using deep learning techniques.

Project Overview
A fundamental deep learning project focused on training models to categorize images, from simple datasets like CIFAR-10 to more complex ones.
Technologies Used
PythonTensorFlowKerasCNN
Methodology
- 1Data augmentation techniques for improving model generalization.
- 2Designing and training custom CNN architectures for image classification.
- 3Evaluating classification accuracy, loss, and confusion matrices.
- 4Visualizing feature maps and model predictions to understand behavior.
More in Deep Learning
Covid-19 Detection from X-Rays
Using Deep Learning (CNN) to detect Covid-19 from chest X-ray images.
Web Ad Optimization (RL)
Solving the Multi-Armed Bandit problem for advertisement clicks using Upper Confidence Bound.
Diabetes Risk Prediction
Predicting diabetes onset in high-risk populations using Neural Networks and diagnostic data.