image classification projects
- cifar10 image classification
- fashion
- realtime camera prediction
Python script for making use of AI models to predict realtime results
Using the cifar 10 image classification dataset using Convolutional nural networks
- Loss: Sparse Categorical Crossentropy
- Optimizer: Adam
- Metrics: Accuracy
- Learning Rate: 0.001
- Batch Size: 32
Train loss: 0.6438 , Train accuracy: 0.7757
Test loss: 0.8629 , Test accuracy: 0.7077
Using Sequential Api for model generation
- Loss: Sparse Categorical Crossentropy
- Optimizer: Adam
- Metrics: Accuracy
- Learning Rate: 0.001
- Batch Size: 32
- Epochs: 5
Train loss: 0.0578 , Train accuracy: 0.9805
Test loss: 0.0715 , Test accuracy: 0.9799