NASNet

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Implementations

TensorFlow-Slim image classification model library

TF-slim is a new lightweight high-level API of TensorFlow (tensorflow.contrib.slim) for defining, training and evaluating complex models. This directory contains code for training and evaluating several widely used Convolutional Neural Network (CNN) image classification models using TF-slim. It contains scripts that will allow you to train models from scratch or fine-tune them from pre-trained network weights.

nasnetalarge(num_classes=1000, pretrained='imagenet')
nasnetalarge(num_classes=1001, pretrained='imagenet+background')
nasnetamobile(num_classes=1000, pretrained='imagenet')

Code: https://github.com/tensorflow/models/blob/master/research/slim/nets/nasnet/nasnet.py

tensorflownasnet
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