README.md

Keras Frontend

Installing Dependencies

Updating pip:

The pip version required in this subproject must be >= 19.3.

To upgrade pip:

pip install --upgrade pip

To check installed pip version:

pip -V

Importing Conda Environment:

conda env create -f keras_environment.yml --name ${KERAS_ENV_NAME}

Note: pip version MUST be > 19.3

Activating Conda Environment:

conda activate ${KERAS_ENV_NAME}

Building and Installing Frontend:

python setup.py build

python setup.py install

Running Benchmaks

Benchmarks under ./src/

List of benchmarks and the expected accuracies:

Benchmark	Accuracy
AlexNet-CIFAR10	79.28
AlexNet2-CIFAR10	84.98
AlexNet-ImageNet	56.30
LeNet-MNIST	98.70
MobileNet-CIFAR10	84.42
ResNet18-CIFAR10	89.56
ResNet50-ImageNet	75.10
VGG16-CIFAR10	89.96
VGG16-CIFAR100	66.50
VGG16-ImageNet	69.46

Activate conda environment (above) before running benchmarks