Galaxy Classifier
Convolutional Neural Network
PLACEHOLDER
Description:
- Engineered a TensorFlow neural network for galaxy identification on a test set of 8,000+ images
- Designed a cycling architecture with 4 CNN layers, ReLU activation, and max pooling
- Employed downsampling and grayscale pre-processing techniques for improved performance
Skills:
TensorFlow, Matplotlib, Pandas, NumPy, Convolutional Neural Network, Pre-Processing
Statistics:
8,000+
Galaxy
Images
3
Pre-processing
Techniques
6