Summary

In this chapter, we learned how to install the different library files of Python, Keras, and TensorFlow. In order to use several code snippets in further chapters, these libraries will be sufficient. We also had a look at different datasets like ImageNet, MNIST, CIFAR-10, MSCOCO and TUM RGBD datasets. These datasets are the backbone for computer vision applications since the ability of several software that we develop directly depends on the availability of these datasets. 

In next chapter, we will begin with more in-depth image analysis by introducing different types of filters and also learn transformations on image such as translation, rotation or affine.