Recurrent Neural Networks
May 1, 2024
Updated May 12, 2025
24 minute read
Recurrent Neural Networks (RNNs) are a fascinating and powerful class of neural networks designed to recognize patterns in sequences of data, such as text, speech, genomes, or time series. Unlike their feedforward counterparts, RNNs possess a form of memory, allowing them to use prior information to influence current input and output. This characteristic makes them particularly well-suited for tasks where context and order are crucial. Imagine trying to predict the next word in a sentence; the words that came before are essential for making an accurate guess. RNNs excel at this by maintaining an internal "hidden state" that captures information about previous elements in a sequence.
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Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Recurrent Neural Networks.
Provides a comprehensive overview of recurrent neural networks, covering their theory and practice. It is written by Yoav Goldberg, a leading researcher in the field of recurrent neural networks.
Focuses on the application of recurrent neural networks to natural language processing using the spaCy library. It is written by two leading researchers in the field of natural language processing.
Provides a comprehensive overview of deep learning, including a chapter on recurrent neural networks. It is written by three leading researchers in the field of deep learning.
Focuses on the application of recurrent neural networks to speech recognition. It is written by two leading researchers in the field of speech recognition.
Focuses on the application of recurrent neural networks to time-series forecasting. It is written by two leading researchers in the field of time-series forecasting.
Provides a comprehensive overview of advanced deep learning techniques, including a chapter on recurrent neural networks. It is written by Rowel Atienza, a leading researcher in the field of deep learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/4u5cig/recurrent