Recurrent Neural Networks

Where the Past and Future are Always Present

Meet the Pioneers who brought us this revolutionary technology!

• Yann LeCun: The French Connection, who brought the French Connection.
• Yoshua Bengio: The Japanese Connection, who brought the Asian Fusion.
• Jeffrey Elman: The American Connection, who brought the Big Data.

How it works

We use a series of interconnected nodes, each with a set of neurons, to process input data.

The output of each node is fed into a set of weights and biases, which determine the strength of the connection.

Types of RNNs:

• Gated RNNs: The ones that gate, or regulate, the information flow.
• LSTMs: Theประก ones that remember the past,ประก present, and future.
• RRecurrent Units: The ones that repeat, repeat, REPEAT!