NASNET FOR OBJECT CLASSIFICATION

WHAT IS IT?

In NASNet, though the overall architecture is predefined as shown above, the blocks or cells are not predefined by authors. Instead, they are searched by reinforcement learning search method i.e. the number of motif repetitions N and the number of initial convolutional filters are as free parameters, and used for scaling.

HOW TO USE?

To run The Inference Script run this command python run.py pexels-photo-326875.jpeg

For help, python run.py -h

WHAT ARE THE REQUIREMENTS?

To get all the requirements and dependencies installed run the command For GPU - pip install -r gpu_requirements.txt For CPU - pip install -r cpu_requirements.txt