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Unit 5 covers Recurrent Neural Networks (RNNs), their architecture, challenges, and variants like LSTM and GRU, which address issues with long sequences. It also discusses Backpropagation Through Time (BPTT) for training RNNs, Encoder-Decoder Models for sequence-to-sequence tasks, and the Attention Mechanism that enhances these models by allowing focus on specific input parts. Additionally, it explores Attention over Images for tasks like image captioning and object detection.

Author

gaikwadmegha059

Language

EN