Metadata-Version: 2.1
Name: nod-labs-NNS
Version: 0.0.1
Summary: Nod AutoML package for neural architecture search and model training of image classification
Home-page: https://nod.com
Author: Nod Labs
Author-email: bingyu@nod-labs.com
License: UNKNOWN
Description: # NodLabsNNS pip package
        
        Nod Labs AutoML package for neural architecture search and model training of image classification
        
        ## Requirements
        * Access to Cloud TPUs ([Official Cloud TPU Tutorial](https://cloud.google.com/tpu/docs/tutorials/mnasnet))
        * Tensorflow 1.15
        * Python 3.5+
        
        ### Specific steps
        1. install pip package
        ```
        pip3 install nod-labs-NNS==0.0.1
        ```
        2. Setting up ImageNet dataset
        
        To setup the ImageNet follow the instructions from [here](https://cloud.google.com/tpu/docs/tutorials/amoebanet#full-dataset)
        
        3. Use nodlabsNNS package for neural architecture search and train
        
        create a python file
        
        Search
        
        ```
        import nns
        
        model = model.nod_detection('tpu','your-tpu-name','your-bucket-name')
        model.dataset('imagenet')
        model.search_model()
        ```
        Train
        ```
        import nns
        
        model = model.nod_detection('tpu','your-tpu-name','your-bucket-name')
        model.dataset('imagenet')
        model.train_model()
        ```
        Currently nns only support TPU for searching and training and only support IMAGENET dataset.
        
        
        
        
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
