Chapter 1 - Introduction to Deep Learning

1. The success of machine learning lies in the right set of features. Feature engineering plays a crucial role in machine learning. If we handcraft the right set of features to predict a certain outcome, then the machine learning algorithms can perform well, but finding and engineering the right set of features is not an easy task. With deep learning, we don't have to handcraft such features. Since deep artificial neural networks (ANNs) employ several layers, they learn the complex intrinsic features and multi-level abstract representation of the data by itself.

2. It is basically due to the structure of An ANN. ANNs consist of some n number of layers to perform any computation. We can build an ANN with several layers, where each layer is responsible for learning the intricate patterns in the data. Due to the computational advancements...