Technologies Used
Deep Learning
CNNs
TensorFlow
Image Classification
Project Overview
Applied CNNs and deep learning models for accurate classification of Cats vs. Dogs, achieving 92% accuracy. Implemented using TensorFlow and Keras with data augmentation techniques.
Key Features
- Implemented using Deep Learning, CNNs, TensorFlow
- Developed during Oct 2020
- Focused on performance, usability, and modern design principles
- Utilized best practices for code organization and maintainability
Development Process
This project was developed with a focus on creating a robust and scalable solution. The development process involved careful planning, implementation of key features, rigorous testing, and deployment.
Project Details
Project Type
Deep Learning
Timeline
Oct 2020
Primary Technologies
Deep Learning
CNNs
TensorFlow
Related Skills
Deep LearningCNNsTensorFlowImage Classification