ICP10 (Inception Model) - GeoSnipes/Big-Data GitHub Wiki
5-2 15 Naga Venkata Satya Pranoop Mutha
5-2 23 Geovanni West
Using the inception model:
- Train the given dataset(given in source code) for 100 iterations and report accuracy
- Provide TensorBoardvisualizations for Training, weights, loss etc. and validation.
Inception-v3 is trained for the ImageNet Large Visual Recognition Challenge using the data from 2012. This is a standard task in computer vision, where models try to classify entire images into 1000 classes.
Adjusting the iterations to 100:
Final test accuracy was 87.3%
After changing to 200 iterations, the final test accuracy was 89.9%
Self-test: The first image saw a 91.5% match of tulips.
The second image saw a 49.6% match for roses and a 43.9% match for sunflowers.
Accuracy and Cross Entropy
Activation
Bias Mean
Weights Mean
Bias and weight Histogram