Deep Learning/Image Classifier
Advanced neural network for image recognition
About This Project
This project involves developing a model to train or generate content using TensorFlow-based architecture to recognize images, classify content, or create art. It includes fine-tuning or training from scratch using an open-source CNN or domain-specific dataset and demonstrates effective inference techniques.
Core Concepts
- Deep learning fundamentals
- Convolutional neural networks
- Transfer learning techniques
- Image preprocessing and augmentation
- Model fine-tuning strategies
- Inference optimization
Key Knowledge/Skills
- Deep learning architectures
- TensorFlow framework
- Computer vision techniques
- Neural network optimization
- Hyperparameter tuning
- Model deployment and inference
Coursework Covered
Deep Learning and Neural Networks