Machine Learning by By Audrey Tam && Matthijs Hollemans & By Matthijs Hollemans & By Chris LaPollo

Author:By Audrey Tam && Matthijs Hollemans & By Matthijs Hollemans & By Chris LaPollo
Language: eng
Format: epub
Publisher: Ray Wenderlich

There is a version 2 of MobileNet, also available in Keras. MobileNet V2 is smaller and more powerful than V1. Just like ResNet50, it uses so-called residual connections, an advanced way to connect different layers together. Try training the classifier using MobileNetV2 from the keras.applications.mobilenetv2 module.

Try training MobileNet from scratch on the snacks dataset. You’ve seen that transfer learning and fine-tuning works very well, but only because MobileNet has been pre-trained on a large dataset of millions of photos. To create an “empty” MobileNet, use weights=None instead of weights="imagenet". You’ll find that it’s actually quite difficult to train a large neural network from scratch on such a small dataset. See whether you can get this model to learn anything, and, if so, what sort of accuracy it achieves on the test set.

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