Convolutional Neural Networks and Recurrent Neural Networks in Image Detection and Natural Language Processing

The chapter explores the applications of Convolutional Neural Networks (CNNs) in image detection, highlighting their ability to learn patterns in pixel data for object recognition. It also delves into the use of Recurrent Neural Networks (RNNs) in natural language processing and video classification, discussing their short-term memory for predicting sequences of text or events. The significance of Long Short-Term Memory (LSTM) models in effectively learning long-term relationships and the transition to unsupervised deep learning are also covered in this chapter.