Image recognition training with PowerAI notebooks - IBM Code

The pre-trained Inception-v3 model achieves state-of-the-art accuracy for recognizing general objects with 1,000 classes. The model extracts general features from input images in the first part and classifies them based on those features in the second part. We will use this pre-trained model and retrain it to classify houses with or without swimming pools. Upon completion of this journey, you will understand how to load and run a Jupyter Notebook with Nimbix and PowerAI, use transfer learning to leverage the TensorFlow Inception model to create a custom classifier from a set of images, then test and demonstrate the resulting classifier.