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A recurrent neural network is a class of artificial neural network where connections form a directed cycle, using their internal memory to process arbitrary sequences of inputs. This makes them capable of tasks like handwriting and speech recognition. In this course, you’ll explore this extremely expressive facet of deep learning and get up to speed on this revolutionary new advance.

  • Access 32 lectures & 4 hours of content 24/7
  • Get introduced to the Simple Recurrent Unit, also known as the Elman unit
  • Extend the XOR problem as a parity problem
  • Explore language modeling
  • Learn Word2Vec to create word vectors or word embeddings
  • Look at the long short-term memory unit (LSTM), & gated recurrent unit (GRU)
  • Apply what you learn to practical problems like learning a language model from Wikipedia data

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