Automated Machine Learning and Transfer Learning

In this chapter, we will cover the following recipes:

• Working with Auto-WEKA
• Using AutoML to generate machine learning pipelines with TPOT
• Working with Auto-Keras
• Working with auto-sklearn
• Using MLBox for selection and leak detection
• Convolutional neural networks with transfer learning
• Transfer learning – pretrained image classifiers with ResNet-50
• Transfer learning – feature extraction with the VGG16 model
• Transfer learning with retrained GloVe embedding